Neurocomputing, Volume 73

Volume 73, Numbers 1-3, December 2009

Special papers: Timely Developments in Applied Neural Computing (EANN 2007)

• 
  Dominic Palmer-Brown, Lazaros S. Iliadis:
  EANN 2007: Timely developments in applied neural computing. 1-2
• 
  Konstantinos I. Diamantaras, Theophilos Papadimitriou:
  Applying PCA neural models for the blind separation of signals. 3-9
• 
  Witold Pedrycz, Rafik A. Aliev:
  Logic-oriented neural networks for fuzzy neurocomputing. 10-23
• 
  Frank Ekpenyong, Dominic Palmer-Brown, Allan J. Brimicombe:
  Extracting road information from recorded GPS data using snap-drift neural network. 24-36
• 
  Achilleas Zapranis, Antonis Alexandridis:
  Weather derivatives pricing: Modeling the seasonal residual variance of an Ornstein-Uhlenbeck temperature process with neural networks. 37-48
• 
  Thomas J. Glezakos, Theodore A. Tsiligiridis, Lazaros S. Iliadis, Constantine P. Yialouris, Fotis P. Maris, Konstantinos P. Ferentinos:
  Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds. 49-59
• 
  Hideyuki Matsumoto, Ryuichi Masumoto, Chiaki Kuroda:
  Feature extraction of time-series process images in an aerated agitation vessel using self organizing map. 60-70
• 
  Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Lorenzo Sassu, Stefano Melis, Roberto Baratti:
  A SOM-based approach to estimating product properties from spectroscopic measurements. 71-79
• 
  Efstratios K. Kosmidis, Anastasia S. Tsingotjidou, Lazaros S. Iliadis, Christos Batzios, Georgios C. Papadopoulos:
  A sparsely connected network to model the relay stations of the sheep milk ejection reflex. 80-86
• 
  Mario Malcangi, David Frontini:
  Language-independent, neural network-based, text-to-phones conversion. 87-96

Special papers: Some Novel Analysis and Learning Methods for Neural Networks (ISNN 2008)

• 
  Wen Yu, Xiangjie Liu:
  Some novel analysis and learning methods for neural networks - Selected papers from the 5th International Symposium on Neural Networks. 97
• 
  Christian Mayr, Johannes Partzsch, René Schüffny:
  Transient responses of activity-dependent synapses to modulated pulse trains. 99-105
• 
  Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, Lixin Ma:
  Bagging and AdaBoost algorithms for vector quantization. 106-114
• 
  Bumghi Choi, Ju-Hong Lee:
  Comparison of generalization ability on solving differential equations using backpropagation and reformulated radial basis function networks. 115-118
• 
  Iulian B. Ciocoiu:
  Invariant pattern recognition using analog recurrent associative memories. 119-126
• 
  Wil H. A. Schilders:
  Predicting the topology of dynamic neural networks for the simulation of electronic circuits. 127-132
• 
  Huizhong Yang, Li Sheng:
  Robust stability of uncertain stochastic fuzzy cellular neural networks. 133-138
• 
  Rubin Wang, Zhikang Zhang, Guanrong Chen:
  Energy coding and energy functions for local activities of the brain. 139-150
• 
  Takéhiko Nakama:
  Theoretical analysis of batch and on-line training for gradient descent learning in neural networks. 151-159
• 
  Stelios Timotheou:
  A novel weight initialization method for the random neural network. 160-168
• 
  Hyunjin Heo, Hyejin Park, Namhyoung Kim, Jaewook Lee:
  Prediction of credit delinquents using locally transductive multi-layer perceptron. 169-175

Special papers: Pattern Recognition in Graphical Domains

• 
  Monica Bianchini, Franco Scarselli:
  Pattern recognition in graphical domains. 177-178
• 
  Faguo Yang, Frithjof Kruggel:
  A graph matching approach for labeling brain sulci using location, orientation, and shape. 179-190
• 
  Bo Li, Chao Wang, De-Shuang Huang:
  Supervised feature extraction based on orthogonal discriminant projection. 191-196
• 
  Minghua Wan, Zhihui Lai, Jie Shao, Zhong Jin:
  Two-dimensional local graph embedding discriminant analysis (2DLGEDA) with its application to face and palm biometrics. 197-203
• 
  Edmondo Trentin, Ernesto Di Iorio:
  Classification of graphical data made easy. 204-212

Regular papers

• 
  Zhengqiu Zhang, Dongming Zhou:
  Global robust exponential stability for second-order Cohen-Grossberg neural networks with multiple delays. 213-218
• 
  Zhenbing Liu, Jianguo Liu, Zhong Chen:
  A generalized Gilbert's algorithm for approximating general SVM classifiers. 219-224
• 
  Roberto Antonio Vázquez, Humberto Sossa:
  Behavior of morphological associative memories with true-color image patterns. 225-244
• 
  Yong Xu, Ge Feng, Yingnan Zhao:
  One improvement to two-dimensional locality preserving projection method for use with face recognition. 245-249
• 
  Neil Joye, Alexandre Schmid, Yusuf Leblebici:
  Electrical modeling of the cell-electrode interface for recording neural activity from high-density microelectrode arrays. 250-259
• 
  M. A. H. Akhand, Md. Monirul Islam, Kazuyuki Murase:
  Progressive interactive training: A sequential neural network ensemble learning method. 260-273
• 
  Anping Chen, Fulai Chen:
  Periodic solution to BAM neural network with delays on time scales. 274-282
• 
  K. G. Jolly, R. Sreerama Kumar, R. Vijayakumar:
  An artificial neural network based dynamic controller for a robot in a multi-agent system. 283-294
• 
  Huawen Liu, Lei Liu, Huijie Zhang:
  Boosting feature selection using information metric for classification. 295-303
• 
  Hyung-Min Park, Sang-Hoon Oh, Soo-Young Lee:
  A Bark-scale filter bank approach to independent component analysis for acoustic mixtures. 304-314
• 
  N. Rathina Prabha, N. S. Marimuthu, C. K. Babulal:
  Adaptive neuro-fuzzy inference system based total demand distortion factor for power quality evaluation. 315-323
• 
  Jing Li, Nigel M. Allinson:
  Subspace learning-based dimensionality reduction in building recognition. 324-330
• 
  Magdi Sadek Mahmoud:
  Novel robust exponential stability criteria for neural networks. 331-335
• 
  Chenggong Zhang, Zhang Yi:
  Tree structured artificial immune network with self-organizing reaction operator. 336-349
• 
  Haibo Gu:
  Adaptive synchronization for competitive neural networks with different time scales and stochastic perturbation. 350-356
• 
  Xubing Yang, Songcan Chen, Bin Chen, Zhisong Pan:
  Proximal support vector machine using local information. 357-365
• 
  Martin Wöllmer, Marc A. Al-Hames, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
  A multidimensional dynamic time warping algorithm for efficient multimodal fusion of asynchronous data streams. 366-380
• 
  Xiaobin Lin, Philippe De Wilde:
  Synchronization enhances synaptic efficacy through spike timing-dependent plasticity in the olfactory system. 381-388
• 
  Ignazio Gallo, Elisabetta Binaghi, Mario Raspanti:
  Semi-blind image restoration using a local neural approach. 389-396
• 
  Chan-Yun Yang, Jr-Syu Yang, Jian-Jun Wang:
  Margin calibration in SVM class-imbalanced learning. 397-411
• 
  Zhi Yang, Qi Zhao, Wentai Liu:
  Neural signal classification using a simplified feature set with nonparametric clustering. 412-422
• 
  Chun-Fei Hsu, Kuo-Hsiang Cheng, Tsu-Tian Lee:
  Robust wavelet-based adaptive neural controller design with a fuzzy compensator. 423-431
• 
  Behrooz Nasihatkon, Reza Boostani, Mansoor Zolghadri Jahromi:
  An efficient hybrid linear and kernel CSP approach for EEG feature extraction. 432-437
• 
  Cheng-Lung Huang:
  ACO-based hybrid classification system with feature subset selection and model parameters optimization. 438-448
• 
  Cheng-Ming Lee, Chia-Nan Ko:
  Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm. 449-460
• 
  Miguel A. Hernandez, Yu Tang:
  Adaptive output-feedback decentralized control of a class of second order nonlinear systems using recurrent fuzzy neural networks. 461-467
• 
  Shuyuan Yang, Min Wang, Licheng Jiao:
  A linear ridgelet network. 468-477
• 
  Huan Su, Xiaohua Ding:
  Synchronization in time-discrete delayed chaotic systems. 478-483
• 
  Sung-Chiang Lin, Yuan-chin Ivan Chang, Wei-Ning Yang:
  Meta-learning for imbalanced data and classification ensemble in binary classification. 484-494
• 
  Wentao Mao, Guirong Yan, Longlei Dong:
  Weighted solution path algorithm of support vector regression based on heuristic weight-setting optimization. 495-505
• 
  Krishna Teerth Chaturvedi, Manjaree Pandit, Laxmi Srivastava, Jaydev Sharma, R. P. Bhatele:
  Hybrid fuzzy-neural network-based composite contingency ranking employing fuzzy curves for feature selection. 506-516
• 
  Omid Khayat, Mohammad Mehdi Ebadzadeh, Hamid Reza Shahdoosti, Ramin Rajaei, Iman Khajehnasiri:
  A novel hybrid algorithm for creating self-organizing fuzzy neural networks. 517-524
• 
  Xiaodi Li:
  Exponential stability of Cohen-Grossberg-type BAM neural networks with time-varying delays via impulsive control. 525-530

Letters

• 
  Xiao-Hua Yu, Weiming Li, Taufik:
  Design and implementation of a neural network controller for real-time adaptive voltage regulation. 531-535
• 
  Bin Fang, Miao Cheng, Yuan Yan Tang, Guanghui He:
  Improving the discriminant ability of local margin based learning method by incorporating the global between-class separability criterion. 536-541
• 
  Tao Li, Aiguo Song, Shumin Fei:
  Robust stability of stochastic Cohen-Grossberg neural networks with mixed time-varying delays. 542-551

Volume 73, Numbers 4-6, January 2010

Special papers: Bayesian Networks

• 
  Alex Aussem:
  Bayesian networks. 561-562
• 
  Christian Wolf, Gérald Gavin:
  Inference and parameter estimation on hierarchical belief networks for image segmentation. 563-569
• 
  Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin:
  A dynamic Bayesian network to represent discrete duration models. 570-577
• 
  Sergio Rodrigues de Morais, Alex Aussem:
  A novel Markov boundary based feature subset selection algorithm. 578-584
• 
  Alex Aussem, Sergio Rodrigues de Morais:
  A conservative feature subset selection algorithm with missing data. 585-590

Special papers: Design and Application of Neural Networks and Intelligent Learning Systems (KES 2008)

• 
  Dipti Srinivasan, Robert J. Howlett, Ignac Lovrek, Lakhmi C. Jain, Chee Peng Lim:
  Design and application of neural networks and intelligent learning systems. 591-592
• 
  Heng Deng, Dipti Srinivasan, Ramesh Oruganti:
  A B-spline network based neural controller for power electronic applications. 593-601
• 
  Dinko Vukadinovic, Mateo Basic, Ljubomir Kulisic:
  Stator resistance identification based on neural and fuzzy logic principles in an induction motor drive. 602-612
• 
  Chee Peng Lim, Shir Li Wang, Kay Sin Tan, Jose C. Navarro, Lakhmi C. Jain:
  Use of the circle segments visualization technique for neural network feature selection and analysis. 613-621
• 
  Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús:
  Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors. 622-632
• 
  Robertas Damasevicius:
  Structural analysis of regulatory DNA sequences using grammar inference and Support Vector Machine. 633-638
• 
  Mirko Ficko, Simon Brezovnik, Simon Klancnik, Joze Balic, Miran Brezocnik, Ivo Pahole:
  Intelligent design of an unconstrained layout for a flexible manufacturing system. 639-647
• 
  Nikos Tsourveloudis:
  On the evolutionary-fuzzy control of WIP in manufacturing systems. 648-654
• 
  Piotr Jedrzejowicz, Aleksander Skakovski:
  A cross-entropy-based population-learning algorithm for discrete-continuous scheduling with continuous resource discretisation. 655-660
• 
  Kresimir Jurasovic, Mario Kusek:
  Genetic algorithm for optimizing service distributions. 661-668
• 
  Yuki Hayashi, Tomoko Kojiri, Toyohide Watanabe:
  Focus support interface based on actions for collaborative learning. 669-675

Special papers: Selected papers from the 2nd International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2007)

• 
  Xiaopeng Wei, Qiang Zhang, Guangzhao Cui:
  Some novel classification and learning methods and applications for neural networks - Selected papers from the Second International Conference on Bio-Inspired Computing: Theories and Applications. 677
• 
  Xian-Zhong Wang, Tao Zhang, Lei He:
  Application of fuzzy adaptive back-propagation neural network in thermal conductivity gas analyzer. 679-683
• 
  Xianhua Zeng, Siwei Luo, Qingyong Li:
  An associative sparse coding neural network and applications. 684-689
• 
  Bo Yang, Lin Wang, Zhenxiang Chen, Yuehui Chen, Runyuan Sun:
  A novel classification method using the combination of FDPS and flexible neural tree. 690-699
• 
  Zhipeng Shen, Chen Guo, Ning Zhang:
  A general fuzzified CMAC based reinforcement learning control for ship steering using recursive least-squares algorithm. 700-706
• 
  Xinling Geng, Guangshu Hu, Xin Tian:
  Neural spike sorting using mathematical morphology, multiwavelets transform and hierarchical clustering. 707-715
• 
  Lean Yu, Shouyang Wang, Kin Keung Lai, Fenghua Wen:
  A multiscale neural network learning paradigm for financial crisis forecasting. 716-725

Regular papers

• 
  Sheng Chen, Xia Hong, Chris J. Harris:
  Regression based D-optimality experimental design for sparse kernel density estimation. 727-739
• 
  Yan Ou, Hongyang Liu, Yulin Si, Zhiguang Feng:
  Stability analysis of discrete-time stochastic neural networks with time-varying delays. 740-748
• 
  Xiaodi Li:
  Existence and global exponential stability of periodic solution for delayed neural networks with impulsive and stochastic effects. 749-758
• 
  Xuyang Lou, Qian Ye, Baotong Cui:
  Exponential stability of genetic regulatory networks with random delays. 759-769
• 
  Anke Meyer-Bäse, Rodney G. Roberts, Vera Thümmler:
  Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations. 770-775
• 
  Min Xia, Jian-An Fang, Yang Tang, Zhijie Wang:
  Dynamic depression control of chaotic neural networks for associative memory. 776-783
• 
  Wen Lu, Kai Zeng, Dacheng Tao, Yuan Yuan, Xinbo Gao:
  No-reference image quality assessment in contourlet domain. 784-794
• 
  Jie Fu, Huaguang Zhang, Tiedong Ma, Qingling Zhang:
  On passivity analysis for stochastic neural networks with interval time-varying delay. 795-801
• 
  Lili Wang:
  Existence and global attractivity of almost periodic solutions for delayed high-ordered neural networks. 802-808
• 
  Dong Yue, Hongjie Li:
  Synchronization stability of continuous/discrete complex dynamical networks with interval time-varying delays. 809-819
• 
  Jianlong Qiu:
  Dynamics of high-order Hopfield neural networks with time delays. 820-826
• 
  Jing Wen, Xinbo Gao, Yuan Yuan, Dacheng Tao, Jie Li:
  Incremental tensor biased discriminant analysis: A new color-based visual tracking method. 827-839
• 
  Bing Xiao, Xinbo Gao, Dacheng Tao, Yuan Yuan, Jie Li:
  Photo-sketch synthesis and recognition based on subspace learning. 840-852
• 
  Yonggang Chen, Weiping Bi, Wenlin Li:
  Stability analysis for neural networks with time-varying delay: A more general delay decomposition approach. 853-857
• 
  Wenwu Yu, Jinde Cao, Wenlian Lu:
  Synchronization control of switched linearly coupled neural networks with delay. 858-866
• 
  Hiroaki Sasaki, Shunji Satoh, Shiro Usui:
  Neural implementation of coarse-to-fine processing in V1 simple neurons. 867-873
• 
  Bin Zhen, Jian Xu:
  Simple zero singularity analysis in a coupled FitzHugh-Nagumo neural system with delay. 874-882
• 
  Jing Huang, Xinge You, Yuan Yuan, Feng Yang, Lin Lin:
  Rotation invariant iris feature extraction using Gaussian Markov random fields with non-separable wavelet. 883-894
• 
  Yang Mu, Dacheng Tao:
  Biologically inspired feature manifold for gait recognition. 895-902
• 
  Tingfan Xie, Feilong Cao:
  The errors in simultaneous approximation by feed-forward neural networks. 903-907
• 
  Changshui Zhang, Qutang Cai, Yangqiu Song:
  Boosting with pairwise constraints. 908-919
• 
  Ronghua Li, Wan-Kai Pang, Ping-Kei Leung:
  Exponential stability of numerical solutions to stochastic delay Hopfield neural networks. 920-926
• 
  Liangpei Zhang, Xin Huang:
  Object-oriented subspace analysis for airborne hyperspectral remote sensing imagery. 927-936
• 
  Alaeddin Malek, Maryam Yashtini:
  Image fusion algorithms for color and gray level images based on LCLS method and novel artificial neural network. 937-943
• 
  Zhenhua Guo, Wangmeng Zuo, Lei Zhang, David Zhang:
  A unified distance measurement for orientation coding in palmprint verification. 944-950
• 
  Chun Chen, Lijun Zhang, Jiajun Bu, Can Wang, Wei Chen:
  Constrained Laplacian Eigenmap for dimensionality reduction. 951-958
• 
  Changshui Zhang, Feiping Nie, Shiming Xiang:
  A general kernelization framework for learning algorithms based on kernel PCA. 959-967
• 
  Yanwei Pang, Yuan Yuan:
  Outlier-resisting graph embedding. 968-974
• 
  Zixin Liu, Shu Lü, Shouming Zhong, Mao Ye:
  Improved exponential stability criteria for discrete-time neural networks with time-varying delay. 975-985
• 
  Chuangxia Huang, Jinde Cao:
  On pth moment exponential stability of stochastic Cohen-Grossberg neural networks with time-varying delays. 986-990
• 
  Amirhossein Hajihosseini, Gholam Reza Rokni Lamooki, Babak Beheshti, Farzaneh Maleki:
  The Hopf bifurcation analysis on a time-delayed recurrent neural network in the frequency domain. 991-1005
• 
  Ying Tang, Jianping Li:
  Notes on "Recurrent neural network model for computing largest and smallest generalized eigenvalue". 1006-1012

Letters

• 
  Zhan-Li Sun, Li Shang:
  An improved constrained ICA with reference based unmixing matrix initialization. 1013-1017
• 
  Ángel Navia-Vázquez, Roberto Díaz-Morales:
  Fast error estimation for efficient support vector machine growing. 1018-1023
• 
  Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
  Efficient online recurrent connectionist learning with the ensemble Kalman filter. 1024-1030
• 
  Jongho Shin, H. Jin Kim, Sewook Park, Youdan Kim:
  Model predictive flight control using adaptive support vector regression. 1031-1037
• 
  Tao Li, Xiaoling Ye:
  Improved stability criteria of neural networks with time-varying delays: An augmented LKF approach. 1038-1047

Volume 73, Numbers 7-9, March 2010

Special papers: Advances in Computational Intelligence and Learning

• 
  Cecilio Angulo, John Aldo Lee, Frank-Michael Schleif:
  Advances in computational intelligence and learning (ESANN 2009). 1049-1050
• 
  Jennifer Dwyer, Hyong Lee, Amber Martell, Rick L. Stevens, Mark Hereld, Wim van Drongelen:
  Oscillation in a network model of neocortex. 1051-1056
• 
  Bruno P. A. Grieco, Priscila M. V. Lima, Massimo De Gregorio, Felipe M. G. França:
  Producing pattern examples from "mental" images. 1057-1064
• 
  Agostino Gibaldi, Manuela Chessa, Andrea Canessa, Silvio P. Sabatini, Fabio Solari:
  A cortical model for binocular vergence control without explicit calculation of disparity. 1065-1073
• 
  Kerstin Bunte, Barbara Hammer, Axel Wismüller, Michael Biehl:
  Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. 1074-1092
• 
  Jaakko Luttinen, Alexander Ilin:
  Transformations in variational Bayesian factor analysis to speed up learning. 1093-1102
• 
  Paul Merlin, Antti Sorjamaa, Bertrand Maillet, Amaury Lendasse:
  X-SOM and L-SOM: A double classification approach for missing value imputation. 1103-1108
• 
  Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann:
  Median fuzzy c-means for clustering dissimilarity data. 1109-1116
• 
  Petra Schneider, Michael Biehl, Barbara Hammer:
  Hyperparameter learning in probabilistic prototype-based models. 1117-1124
• 
  Georges Hébrail, Bernard Hugueney, Yves Lechevallier, Fabrice Rossi:
  Exploratory analysis of functional data via clustering and optimal segmentation. 1125-1141
• 
  Fabrice Rossi, Nathalie Villa-Vialaneix:
  Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach. 1142-1163
• 
  Eneldo Loza Mencía, Sang-Hyeun Park, Johannes Fürnkranz:
  Efficient voting prediction for pairwise multilabel classification. 1164-1176
• 
  Adriana Birlutiu, Perry Groot, Tom Heskes:
  Multi-task preference learning with an application to hearing aid personalization. 1177-1185
• 
  Michail D. Vrettas, Dan Cornford, Manfred Opper, Yuan Shen:
  A new variational radial basis function approximation for inference in multivariate diffusions. 1186-1198
• 
  Arnaud de Decker, John Aldo Lee, Michel Verleysen:
  A principled approach to image denoising with similarity kernels involving patches. 1199-1209
• 
  Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
  A hidden process regression model for functional data description. Application to curve discrimination. 1210-1221
• 
  Rafal Dlugosz, Witold Pedrycz:
  lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. 1222-1234

Regular papers

• 
  Huaicheng Yan, Hao Zhang, Max Q.-H. Meng:
  Delay-range-dependent robust H_∞ control for uncertain systems with interval time-varying delays. 1235-1243
• 
  Chenggong Zhang, Zhang Yi:
  A danger theory inspired artificial immune algorithm for on-line supervised two-class classification problem. 1244-1255
• 
  Antônio P. M. Henriques, Adrião Duarte Dória Neto, Ricardo F. Amaral:
  Classification of multispectral images in coral environments using a hybrid of classifier ensembles. 1256-1264
• 
  Xiru Wu, Yaonan Wang, Lihong Huang, Yi Zuo:
  Robust exponential stability criterion for uncertain neural networks with discontinuous activation functions and time-varying delays. 1265-1271
• 
  Guang Han, Chunxia Zhao:
  AUC maximization linear classifier based on active learning and its application. 1272-1280
• 
  Huiwei Wang, Qiankun Song:
  State estimation for neural networks with mixed interval time-varying delays. 1281-1288
• 
  Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
  Committees of Adaboost ensembles with modified emphasis functions. 1289-1292
• 
  Lili Cui, Huaguang Zhang, Bing Chen, Qingling Zhang:
  Asymptotic tracking control scheme for mechanical systems with external disturbances and friction. 1293-1302
• 
  Dimokritos Panagiotopoulos, Christos Orovas, Dimitrios Syndoukas:
  A heuristically enhanced gradient approximation (HEGA) algorithm for training neural networks. 1303-1323
• 
  Yonggang Chen, Weiping Bi, Wenlin Li, Yuanyuan Wu:
  Less conservative results of state estimation for neural networks with time-varying delay. 1324-1331
• 
  Maciej Lawrynczuk:
  Training of neural models for predictive control. 1332-1343
• 
  Jie Pan, Shouming Zhong:
  Dynamical behaviors of impulsive reaction-diffusion Cohen-Grossberg neural network with delays. 1344-1351
• 
  Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
  Kernel-based metric learning for semi-supervised clustering. 1352-1361
• 
  Pavol Vanco, Igor Farkas:
  Experimental comparison of recursive self-organizing maps for processing tree-structured data. 1362-1375
• 
  Xueli Wu, Jianhua Zhang, Quanmin Zhu:
  A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems. 1376-1383
• 
  Jin Zhu, Qingling Zhang, Zhonghu Yuan:
  Delay-dependent passivity criterion for discrete-time delayed standard neural network model. 1384-1393
• 
  Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Polyakov:
  Origin and elimination of two global spurious attractors in Hopfield-like neural network performing Boolean factor analysis. 1394-1404
• 
  Jiuwen Cao, Zhiping Lin, Guang-Bin Huang:
  Composite function wavelet neural networks with extreme learning machine. 1405-1416
• 
  Arvind Tolambiya, Prem Kumar Kalra:
  Relevance vector machine with adaptive wavelet kernels for efficient image coding. 1417-1424
• 
  Guoren Wang, Yuhai Zhao, Xiangguo Zhao, Botao Wang, Baiyou Qiao:
  Efficiently mining local conserved clusters from gene expression data. 1425-1437
• 
  Leandro M. Almeida, Teresa Bernarda Ludermir:
  A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks. 1438-1450
• 
  T. Jayasree, D. Devaraj, R. Sukanesh:
  Power quality disturbance classification using Hilbert transform and RBF networks. 1451-1456
• 
  Feng Wang, Cheng Yang, Zhiyi Lin, Yuanxiang Li, Yuan Yuan:
  Hybrid sampling on mutual information entropy-based clustering ensembles for optimizations. 1457-1464
• 
  Ah-Hwee Tan, Yu-Hong Feng, Yew-Soon Ong:
  A self-organizing neural architecture integrating desire, intention and reinforcement learning. 1465-1477
• 
  Chao Wang, Yongping Li:
  Combine image quality fusion and illumination compensation for video-based face recognition. 1478-1490
• 
  Yan Ou, Peng Shi, Hongyang Liu:
  A mode-dependent stability criterion for delayed discrete-time stochastic neural networks with Markovian jumping parameters. 1491-1500
• 
  Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee, Su-Yun Huang:
  Multiclass support vector classification via coding and regression. 1501-1512
• 
  Hsiao-Lung Chan, Tony Wu, Shih-Tseng Lee, Ming-An Lin, Shau-Ming He, Pei-Kuang Chao, Yu-Tai Tsai:
  Unsupervised wavelet-based spike sorting with dynamic codebook searching and replenishment. 1513-1527

Letters

• 
  Hanyong Shao:
  Less conservative delay-dependent stability criteria for neural networks with time-varying delays. 1528-1532
• 
  Matteo Re, Giorgio Valentini:
  Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines. 1533-1537

Volume 73, Numbers 10-12, June 2010

Special papers: Subspace Learning

• 
  Xuelong Li, Dacheng Tao:
  Subspace Learning. 1539-1540
• 
  Rong-Xiang Hu, Wei Jia, De-Shuang Huang, Ying-Ke Lei:
  Maximum margin criterion with tensor representation. 1541-1549
• 
  Jin Wang, Armando Barreto, Lu Wang, Yu Chen, Naphtali Rishe, Jean Andrian, Malek Adjouadi:
  Multilinear principal component analysis for face recognition with fewer features. 1550-1555
• 
  Wankou Yang, Xiaoyong Yan, Lei Zhang, Changyin Sun:
  Feature extraction based on fuzzy 2DLDA. 1556-1561
• 
  Meng Wang, Bo Liu, Jinhui Tang, Xian-Sheng Hua:
  Metric learning with feature decomposition for image categorization. 1562-1569
• 
  Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Boonserm Kijsirikul:
  A new kernelization framework for Mahalanobis distance learning algorithms. 1570-1579
• 
  Lei Ding, Peibiao Zhao:
  Semi-supervised learning with varifold Laplacians. 1580-1586
• 
  Lishan Qiao, Limei Zhang, Songcan Chen:
  An empirical study of two typical locality preserving linear discriminant analysis methods. 1587-1594
• 
  Genaro Daza-Santacoloma, Carlos Daniel Acosta-Medina, Germán Castellanos-Domínguez:
  Regularization parameter choice in locally linear embedding. 1595-1605
• 
  Xiao Bai, Edwin R. Hancock, Hang Yu:
  Manifold embedding for shape analysis. 1606-1613
• 
  Lianwen Jin, Kai Ding, Zhibin Huang:
  Incremental learning of LDA model for Chinese writer adaptation. 1614-1623
• 
  Quoc Dinh Nguyen, Maurice Milgram:
  Online subspace learning using a misalignment detection for tracking a talking face in video sequence. 1624-1630
• 
  Ratthachat Chatpatanasiri, Boonserm Kijsirikul:
  A unified semi-supervised dimensionality reduction framework for manifold learning. 1631-1640
• 
  Fei Wu, Wenhua Wang, Yi Yang, Yueting Zhuang, Feiping Nie:
  Classification by semi-supervised discriminative regularization. 1641-1651
• 
  Yusuf Yaslan, Zehra Cataltepe:
  Co-training with relevant random subspaces. 1652-1661
• 
  Yang Liu, Jian Cheng, Changsheng Xu, Hanqing Lu:
  Building topographic subspace model with transfer learning for sparse representation. 1662-1668
• 
  Suicheng Gu, Ying Tan, Xingui He:
  Discriminant analysis via support vectors. 1669-1675
• 
  J. Manikandan, B. Venkataramani:
  Study and evaluation of a multi-class SVM classifier using diminishing learning technique. 1676-1685
• 
  Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao:
  Hybrid SVMR-GPR for modeling of chaotic time series systems with noise and outliers. 1686-1693
• 
  Mehmet Gönen, Ethem Alpaydin:
  Supervised learning of local projection kernels. 1694-1703
• 
  Feng Zhao, Licheng Jiao, Hanqiang Liu, Xinbo Gao, Maoguo Gong:
  Spectral clustering with eigenvector selection based on entropy ranking. 1704-1717
• 
  Huiyu Zhou, Abdul Hamid Sadka, Mohammad Rafiq Swash, Jawid Azizi, Umar A. Sadiq:
  Feature extraction and clustering for dynamic video summarisation. 1718-1729
• 
  Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila:
  Model-based subspace clustering of non-Gaussian data. 1730-1739
• 
  Nojun Kwak, Jung-Won Lee:
  Feature extraction based on subspace methods for regression problems. 1740-1751
• 
  Tamer Shanableh, Khaled Assaleh:
  Feature modeling using polynomial classifiers and stepwise regression. 1752-1759
• 
  Luis Gonzalo Sánchez Giraldo, Germán Castellanos-Domínguez:
  Weighted feature extraction with a functional data extension. 1760-1773
• 
  Wei-Chao Lin, Michael P. Oakes, John Tait:
  Improving image annotation via representative feature vector selection. 1774-1782
• 
  Zhenfeng Zhu, Yue-Fei Guo, Xingquan Zhu, Xiangyang Xue:
  Normalized dimensionality reduction using nonnegative matrix factorization. 1783-1793
• 
  Daniel Calabuig, Sonia Gimenez, José E. Román, José F. Monserrat:
  Fast hopfield neural networks using subspace projections. 1794-1800
• 
  Mingming Sun, Chuancai Liu, Jian Yang, Zhong Jin, Jingyu Yang:
  A two-step framework for highly nonlinear data unfolding. 1801-1807
• 
  Yuting Tao, Jian Yang:
  Quotient vs. difference: Comparison between the two discriminant criteria. 1808-1817
• 
  Armin Duff, Paul F. M. J. Verschure:
  Unifying perceptual and behavioral learning with a correlative subspace learning rule. 1818-1830
• 
  Rashid Minhas, Abdul Adeel Mohammed, Q. M. Jonathan Wu:
  A fast recognition framework based on extreme learning machine using hybrid object information. 1831-1839
• 
  Ran He, Bao-Gang Hu, Xiaotong Yuan, Wei-Shi Zheng:
  Principal component analysis based on non-parametric maximum entropy. 1840-1852
• 
  Feng Zhao, Feng Lin, Hock Soon Seah:
  Binary SIPPER plankton image classification using random subspace. 1853-1860
• 
  Todd W. Schiller, Yixin Chen, Issam El-Naqa, Joseph O. Deasy:
  Modeling radiation-induced lung injury risk with an ensemble of support vector machines. 1861-1867
• 
  Abhishek Sharma, Anamika Dubey, Pushkar Tripathi, Vinod Kumar:
  Pose invariant virtual classifiers from single training image using novel hybrid-eigenfaces. 1868-1880
• 
  Ioannis Tziakos, Andrea Cavallaro, Li-Qun Xu:
  Event monitoring via local motion abnormality detection in non-linear subspace. 1881-1891
• 
  Rong Hu, Wei Shen, Hongyuan Wang:
  Recursive spatiotemporal subspace learning for gait recognition. 1892-1899
• 
  Yue Gao, Jinhui Tang, Haojie Li, Qionghai Dai, Naiyao Zhang:
  View-based 3D model retrieval with probabilistic graph model. 1900-1905
• 
  Rashid Minhas, Aryaz Baradarani, Sepideh Seifzadeh, Q. M. Jonathan Wu:
  Human action recognition using extreme learning machine based on visual vocabularies. 1906-1917

Special papers: Selected papers from the European Symposium on Time Series Prediction

• 
  Amaury Lendasse, Timo Honkela, Olli Simula:
  European Symposium on Times Series Prediction. 1919-1922
• 
  Sven F. Crone, Nikolaos Kourentzes:
  Feature selection for time series prediction - A combined filter and wrapper approach for neural networks. 1923-1936
• 
  Federico Montesino-Pouzols, Angel Barriga Barros:
  Automatic clustering-based identification of autoregressive fuzzy inference models for time series. 1937-1949
• 
  Souhaib Ben Taieb, Antti Sorjamaa, Gianluca Bontempi:
  Multiple-output modeling for multi-step-ahead time series forecasting. 1950-1957
• 
  Francis Wyffels, Benjamin Schrauwen:
  A comparative study of Reservoir Computing strategies for monthly time series prediction. 1958-1964
• 
  Ginés Rubio, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén:
  Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling. 1965-1975
• 
  Dusan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, Eric Séverin:
  OPELM and OPKNN in long-term prediction of time series using projected input data. 1976-1986
• 
  Roar Nybø:
  Fault detection and other time series opportunities in the petroleum industry. 1987-1992
• 
  Luís Gustavo M. Souza, Guilherme De A. Barreto:
  On building local models for inverse system identification with vector quantization algorithms. 1993-2005
• 
  Christiane Lemke, Bogdan Gabrys:
  Meta-learning for time series forecasting and forecast combination. 2006-2016
• 
  Fernando Mateo, Dusan Sovilj, Rafael Gadea Gironés:
  Approximate k-NN delta test minimization method using genetic algorithms: Application to time series. 2017-2029
• 
  Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas:
  New method for instance or prototype selection using mutual information in time series prediction. 2030-2038
• 
  Mikko Korpela, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, Mika Sulkava:
  Automatic detection of onset and cessation of tree stem radius increase using dendrometer data. 2039-2046
• 
  Philippe du Jardin:
  Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy. 2047-2060
• 
  Eric Séverin:
  Self organizing maps in corporate finance: Quantitative and qualitative analysis of debt and leasing. 2061-2067
• 
  Qingshan Liu, Yongqing Yang:
  Global exponential system of projection neural networks for system of generalized variational inequalities and related nonlinear minimax problems. 2069-2076
• 
  Kristina Lukoseviciute, Minvydas Ragulskis:
  Evolutionary algorithms for the selection of time lags for time series forecasting by fuzzy inference systems. 2077-2088
• 
  Shutao Li, Mingkui Tan:
  Tuning SVM parameters by using a hybrid CLPSO-BFGS algorithm. 2089-2096
• 
  Serdar Iplikci:
  Support vector machines based neuro-fuzzy control of nonlinear systems. 2097-2107
• 
  Jianghong Bai, Zhidong Teng, Haijun Jiang:
  Dynamics of solution for a class of delayed diffusive neural networks with mixed boundary conditions. 2108-2113
• 
  Qinghua Hu, Xunjian Che, Lei Zhang, Daren Yu:
  Feature evaluation and selection based on neighborhood soft margin. 2114-2124
• 
  Chien-Min Ou:
  FPGA implementation of genetic vector quantizers. 2125-2131
• 
  Yang Tang, Sunney Yung-Sun Leung, Wai Keung Wong, Jian-An Fang:
  Impulsive pinning synchronization of stochastic discrete-time networks. 2132-2139
• 
  Jian Yang, Chengjun Liu, Jingyu Yang:
  What kind of color spaces is suitable for color face recognition? 2140-2146
• 
  Derek Beaton, Iren Valova, Daniel MacLean:
  CQoCO: A measure for comparative quality of coverage and organization for self-organizing maps. 2147-2159
• 
  V. Malathi, N. S. Marimuthu, S. Baskar:
  Intelligent approaches using support vector machine and extreme learning machine for transmission line protection. 2160-2167
• 
  Jinghua Wang, Yong Xu, David Zhang, Jane You:
  An efficient method for computing orthogonal discriminant vectors. 2168-2176
• 
  Qingsong Song, Zuren Feng:
  Effects of connectivity structure of complex echo state network on its prediction performance for nonlinear time series. 2177-2185
• 
  Xiumei Wang, Xinbo Gao, Yuan Yuan, Dacheng Tao, Jie Li:
  Semi-supervised Gaussian process latent variable model with pairwise constraints. 2186-2195
• 
  Dajun Du, Kang Li, Minrui Fei:
  A fast multi-output RBF neural network construction method. 2196-2202
• 
  Zhe Sun, Zengke Zhang, Huangang Wang:
  Manifold regularization based semisupervised semiparametric regression. 2203-2216
• 
  Yong Cheng, Yingkun Hou, Chunxia Zhao, Zuoyong Li, Yong Hu, Cailing Wang:
  Robust face recognition based on illumination invariant in nonsubsampled contourlet transform domain. 2217-2224
• 
  I-Cheng Yeh, Wei-Lun Cheng:
  First and second order sensitivity analysis of MLP. 2225-2233
• 
  Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi:
  Kernel subclass convex hull sample selection method for SVM on face recognition. 2234-2246
• 
  Zhengguang Wu, Hongye Su, Jian Chu:
  State estimation for discrete Markovian jumping neural networks with time delay. 2247-2254
• 
  Xiaoning Song, Xibei Yang, Jingyu Yang, Xiaojun Wu, Yu-Jie Zheng:
  Discriminant analysis approach using fuzzy fourfold subspaces model. 2255-2265
• 
  Fen Li:
  Delayed Lagrangian neural networks for solving convex programming problems. 2266-2273
• 
  Lei Yu, Shumin Fei, Xun Li:
  Robust adaptive neural tracking control for a class of switched affine nonlinear systems. 2274-2279
• 
  Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang:
  Some novel double-scroll chaotic attractors in Hopfield networks. 2280-2285
• 
  Hongwei Dai, Shangce Gao, Yu Yang, Zheng Tang:
  Effects of "rich-gets-richer" rule on small-world networks. 2286-2289

Volume 73, Numbers 13-15, August 2010

Special Papers: Pattern Recognition in Bioinformatics

• 
  Madhu Chetty, Alioune Ngom, Elena Marchiori:
  Computational Intelligence in Bioinformatics. 2291-2292
• 
  Liang-Tsung Huang, Lien Fu Lai, Chao-Chin Wu, M. Michael Gromiha:
  Development of knowledge-based system for predicting the stability of proteins upon point mutations. 2293-2299
• 
  Denis C. Bauer, Fabian A. Buske, Timothy L. Bailey, Mikael Bodén:
  Predicting SUMOylation sites in developmental transcription factors of Drosophila melanogaster. 2300-2307
• 
  Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar, Vicky M. Avery:
  DFS-generated pathways in GA crossover for protein structure prediction. 2308-2316
• 
  Pengyi Yang, Zili Zhang, Bing Bing Zhou, Albert Y. Zomaya:
  A clustering based hybrid system for biomarker selection and sample classification of mass spectrometry data. 2317-2331
• 
  László Szilágyi, Lehel Medvés, Sándor M. Szilágyi:
  A modified Markov clustering approach to unsupervised classification of protein sequences. 2332-2345
• 
  Gregor Stiglic, Juan José Rodríguez Diez, Peter Kokol:
  Finding optimal classifiers for small feature sets in genomics and proteomics. 2346-2352
• 
  Piyushkumar A. Mundra, Jagath C. Rajapakse:
  Gene and sample selection for cancer classification with support vectors based t-statistic. 2353-2362
• 
  Xiaonan Ji, James Bailey, Kotagiri Ramamohanarao:
  Classifying proteins using gapped Markov feature pairs. 2363-2374
• 
  Edmundo Bonilla Huerta, Béatrice Duval, Jin-Kao Hao:
  A hybrid LDA and genetic algorithm for gene selection and classification of microarray data. 2375-2383
• 
  Cem Meydan, Osman Ugur Sezerman:
  Biomarker discovery for toxicity. 2384-2393
• 
  Chengpeng Bi:
  Deterministic local alignment methods improved by a simple genetic algorithm. 2394-2406
• 
  Laleh Soltan Ghoraie, Robin Gras, Lili Wang, Alioune Ngom:
  Optimal decoding and minimal length for the non-unique oligonucleotide probe selection problem. 2407-2418
• 
  Simon Knott, Sara Mostafavi, Parvin Mousavi:
  A neural network based modeling and validation approach for identifying gene regulatory networks. 2419-2429

Special Papers: Advances in Neural Control

• 
  Wen Yu, Bao-Liang Lu:
  Modeling and Adaptive Control with Fuzzy Neural Networks - Selected Papers from the 6th International Symposium on Neural Networks. 2430
• 
  Shiyu Yan, Zengqi Sun:
  Study on separation principles for T-S fuzzy system with switching controller and switching observer. 2431-2438
• 
  Xiaoli Li, Wen Zhang:
  Multiple model iterative learning control. 2439-2445
• 
  Israel Cruz-Vega, Wen Yu:
  Multiple fuzzy neural networks modeling with sparse data. 2446-2453
• 
  Marco A. Moreno-Armendáriz, César A. Pérez-Olvera, Floriberto Ortiz Rodriguez, Elsa Rubio:
  Indirect hierarchical FCMAC control for the ball and plate system. 2454-2463
• 
  Seok-Beom Roh, Su-Chong Joo, Witold Pedrycz, Sung-Kwun Oh:
  The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. 2464-2477
• 
  Kuo-Ho Su, Yih-Young Chen, Shun-Feng Su:
  Design of neural-fuzzy-based controller for two autonomously driven wheeled robot. 2478-2488
• 
  Fenghua Wu, Tianyou Chai:
  Soft sensing method for magnetic tube recovery ratio via fuzzy systems and neural networks. 2489-2497

Regular Papers

• 
  Yan-Jun Liu, Guoxing Wen, Shaocheng Tong:
  Direct adaptive NN control for a class of discrete-time nonlinear strict-feedback systems. 2498-2505
• 
  Ryad A. Zemouri, Rafael Gouriveau, Noureddine Zerhouni:
  Defining and applying prediction performance metrics on a recurrent NARX time series model. 2506-2521
• 
  Martial Mermillod, Patrick Bonin, Laurie Mondillon, David Alleysson, Nicolas Vermeulen:
  Coarse scales are sufficient for efficient categorization of emotional facial expressions: Evidence from neural computation. 2522-2531
• 
  Yao Wang, Zidong Wang, Jinling Liang, Yurong Li, Min Du:
  Synchronization of stochastic genetic oscillator networks with time delays and Markovian jumping parameters. 2532-2539
• 
  Muhammad Ardalani-Farsa, Saeed Zolfaghari:
  Chaotic time series prediction with residual analysis method using hybrid Elman-NARX neural networks. 2540-2553
• 
  Huabin Chen, Yong Zhang, Peng Hu:
  Novel delay-dependent robust stability criteria for neutral stochastic delayed neural networks. 2554-2561
• 
  Ruichu Cai, Zhifeng Hao, Wen Wen, Han Huang:
  Kernel based gene expression pattern discovery and its application on cancer classification. 2562-2570
• 
  Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang:
  Linear discriminant analysis using rotational invariant L₁ norm. 2571-2579
• 
  Kun Zhang, Lai-Wan Chan:
  Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion. 2580-2588
• 
  Hongxiao Hu, Haijun Jiang, Zhidong Teng:
  The boundedness of high-order Hopfield neural networks with variable delays. 2589-2596
• 
  Xuyan Xiang, Hui Ou, Yingchun Deng:
  The learning of moment neuronal networks. 2597-2613
• 
  Ting Yu, Simeon J. Simoff, Tony Jan:
  VQSVM: A case study for incorporating prior domain knowledge into inductive machine learning. 2614-2623
• 
  Niranjan A. Subrahmanya, Yung C. Shin:
  Constructive training of recurrent neural networks using hybrid optimization. 2624-2631
• 
  Sitian Qin, Xiaoping Xue:
  Dynamical behavior of a class of nonsmooth gradient-like systems. 2632-2641
• 
  Ryotaro Kamimura:
  Information-theoretic enhancement learning and its application to visualization of self-organizing maps. 2642-2664
• 
  Xiaodan Zhang, Rubin Wang, Zhikang Zhang, Jingyi Qu, Jianting Cao, Xianfa Jiao:
  Dynamic phase synchronization characteristics of variable high-order coupled neuronal oscillator population. 2665-2670
• 
  Quanxin Zhu, Jinde Cao:
  Stability analysis for stochastic neural networks of neutral type with both Markovian jump parameters and mixed time delays. 2671-2680
• 
  Xiwei Liu:
  Synchronization of linearly coupled neural networks with reaction-diffusion terms and unbounded time delays. 2681-2688
• 
  Huaguang Zhang, Meng Dong, Yingchun Wang, Ning Sun:
  Stochastic stability analysis of neutral-type impulsive neural networks with mixed time-varying delays and Markovian jumping. 2689-2695
• 
  Jie Gui, Wei Jia, Ling Zhu, Shu-Ling Wang, De-Shuang Huang:
  Locality preserving discriminant projections for face and palmprint recognition. 2696-2707
• 
  Ping-Cheng Hsieh, Pi-Cheng Tung:
  Shadow compensation based on facial symmetry and image average for robust face recognition. 2708-2717
• 
  Tao Chen, Bo Wang:
  Bayesian variable selection for Gaussian process regression: Application to chemometric calibration of spectrometers. 2718-2726
• 
  Xu Qiao, Xian-Hua Han, Takanori Igarashi, Keisuke Nakao, Yen-Wei Chen:
  Tensor-based subspace learning and its applications in multi-pose face synthesis. 2727-2736
• 
  N. Rathina Prabha, N. S. Marimuthu, C. K. Babulal:
  Adaptive neuro-fuzzy inference system based representative quality power factor for power quality assessment. 2737-2743
• 
  Ziyu Guan, Can Wang, Zhengguang Chen, Jiajun Bu, Chun Chen:
  Efficient face recognition using tensor subspace regression. 2744-2753
• 
  Yonghui Xia:
  Impulsive effect on the delayed Cohen-Grossberg-type BAM neural networks. 2754-2764
• 
  Xiangnan He, Wenlian Lu, Tianping Chen:
  Nonnegative periodic dynamics of delayed Cohen-Grossberg neural networks with discontinuous activations. 2765-2772
• 
  Zhijun Li, Yunong Zhang, Yipeng Yang:
  Support vector machine optimal control for mobile wheeled inverted pendulums with unmodelled dynamics. 2773-2782
• 
  Chen Qiao, Zongben Xu:
  On the P-critical dynamics analysis of projection recurrent neural networks. 2783-2788

Letters

• 
  Fernando de Oliveira Souza, Reinaldo Martinez Palhares:
  Interval time-varying delay stability for neural networks. 2789-2792
• 
  Jae-Won Lee, Han-joon Kim, Sang-goo Lee:
  Conceptual collaborative filtering recommendation: A probabilistic learning approach. 2793-2796

Volume 73, Numbers 16-18, October 2010

Special Issue: SBRN 2008

• 
  Marley M. B. R. Vellasco, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho:
  Special issue for the SBRN Guest Editorial. 2797-2798
• 
  Illya Kokshenev, Antônio de Pádua Braga:
  An efficient multi-objective learning algorithm for RBF neural network. 2799-2808
• 
  Katti Faceli, Tiemi C. Sakata, Marcílio Carlos Pereira de Souto, André Carlos Ponce de Leon Ferreira de Carvalho:
  Partitions selection strategy for set of clustering solutions. 2809-2819
• 
  Eduardo F. Simas Filho, José Manoel de Seixas, Luiz Pereira Calôba:
  Modified post-nonlinear ICA model for online neural discrimination. 2820-2828
• 
  Ernesto Burattini, Massimo De Gregorio, Silvia Rossi:
  An adaptive oscillatory neural architecture for controlling behavior based robotic systems. 2829-2836
• 
  Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
  Building binary-tree-based multiclass classifiers using separability measures. 2837-2845

Regular Papers

• 
  Xinjun Peng:
  Primal twin support vector regression and its sparse approximation. 2846-2858
• 
  Ming Yang, Jing Song:
  A novel hypothesis-margin based approach for feature selection with side pairwise constraints. 2859-2872
• 
  Da Lin, Xingyuan Wang, Fuzhong Nian, Yonglei Zhang:
  Dynamic fuzzy neural networks modeling and adaptive backstepping tracking control of uncertain chaotic systems. 2873-2881
• 
  Kai Wang, Lei Wang, Zhidong Teng, Haijun Jiang:
  Stability and bifurcation of genetic regulatory networks with delays. 2882-2892
• 
  David Norton, Dan Ventura:
  Improving liquid state machines through iterative refinement of the reservoir. 2893-2904
• 
  Shaoliang Yuan, Xuemei Li:
  Stability and bifurcation analysis of an annular delayed neural network with self-connection. 2905-2912
• 
  Shuyun Niu, Haijun Jiang, Zhidong Teng:
  Boundedness and exponential stability for nonautonomous FCNNs with distributed delays and reaction-diffusion terms. 2913-2919
• 
  Yi-Chung Hu:
  A single-layer perceptron with PROMETHEE methods using novel preference indices. 2920-2927
• 
  Kailash Nadh, Christian R. Huyck:
  A Pong playing agent modelled with massively overlapping cell assemblies. 2928-2934
• 
  Pengfei Huang, Daoqiang Zhang:
  Locality sensitive C-means clustering algorithms. 2935-2943
• 
  Pedro Tomás, Leonel Sousa:
  A quantitative analysis of firing rate estimators: Unveiling bias sources. 2944-2954
• 
  Tony Van Gestel, Bart Baesens, David Martens:
  From linear to non-linear kernel based classifiers for bankruptcy prediction. 2955-2970
• 
  Zhan-Li Sun, Deepu Rajan, Liang-Tien Chia:
  Scene classification using multiple features in a two-stage probabilistic classification framework. 2971-2979
• 
  Shiliang Sun, David R. Hardoon:
  Active learning with extremely sparse labeled examples. 2980-2988
• 
  Hang T. Nguyen, Ian T. Nabney:
  Variational inference for Student-t MLP models. 2989-2997
• 
  Yinghang Hao, Yubing Gong, Xiu Lin, Yanhang Xie, Xiaoguang Ma:
  Transition and enhancement of synchronization by time delays in stochastic Hodgkin-Huxley neuron networks. 2998-3004
• 
  V. Jayasankar, N. Kamaraj, N. Vanaja:
  Estimation of voltage stability index for power system employing artificial neural network technique and TCSC placement. 3005-3011
• 
  Suresh Sundaram, Keming Dong, Hyoung Joong Kim:
  A sequential learning algorithm for self-adaptive resource allocation network classifier. 3012-3019
• 
  Ruizhuo Song, Huaguang Zhang, Yanhong Luo, Qinglai Wei:
  Optimal control laws for time-delay systems with saturating actuators based on heuristic dynamic programming. 3020-3027
• 
  Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
  Two-stage extreme learning machine for regression. 3028-3038
• 
  Iffat A. Gheyas, Leslie S. Smith:
  A neural network-based framework for the reconstruction of incomplete data sets. 3039-3065
• 
  Farzaneh Maleki, Babak Beheshti, Amirhossein Hajihosseini, Gholam Reza Rokni Lamooki:
  The Bogdanov-Takens bifurcation analysis on a three dimensional recurrent neural network. 3066-3078
• 
  Yunlong Gao, Feng Gao:
  Edited AdaBoost by weighted kNN. 3079-3088
• 
  Yee Ming Chen, Jen-Hong Chiang:
  Fusing multiple features for Fourier Mellin-based face recognition with single example image per person. 3089-3096
• 
  Xiaofeng Chen, Qiankun Song:
  Global exponential stability of the periodic solution of delayed Cohen-Grossberg neural networks with discontinuous activations. 3097-3104
• 
  Yongkun Li, Tianwei Zhang, Zhiwei Xing:
  The existence of nonzero almost periodic solution for Cohen-Grossberg neural networks with continuously distributed delays and impulses. 3105-3113
• 
  Qi Li, Guangming Xing:
  New similarity measures of localities for a two-layer matching scheme and estimation of fundamental matrices. 3114-3122
• 
  Yuanfu Shao, Binxiang Dai:
  The existence of exponential periodic attractor of impulsive BAM neural network with periodic coefficients and distributed delays. 3123-3131
• 
  Shigang Zhong, Chuandong Li, Xiaofeng Liao:
  Global stability of discrete-time Cohen-Grossberg neural networks with impulses. 3132-3138
• 
  Zunshui Cheng:
  Anti-control of Hopf bifurcation for Chen's system through washout filters. 3139-3146
• 
  Anfeng Tian, Mingjiu Gai, Bao Shi, Qiang Zhang:
  Existence and exponential stability of periodic solution for a class of Cohen-Grossberg-type BAM neural networks. 3147-3159
• 
  Hakan Cevikalp, Bill Triggs, Hasan Serhan Yavuz, Yalçin Küçük, Mahide Küçük, Atalay Barkana:
  Large margin classifiers based on affine hulls. 3160-3168
• 
  Yo Horikawa, Hiroyuki Kitajima:
  Properties of the transmission of pulse sequences in a bistable chain of unidirectionally coupled neurons. 3169-3178
• 
  Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang:
  Robust object tracking using a spatial pyramid heat kernel structural information representation. 3179-3190
• 
  Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
  Constructive hidden nodes selection of extreme learning machine for regression. 3191-3199
• 
  Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
  Generation and simplification of Artificial Neural Networks by means of Genetic Programming. 3200-3223
• 
  Xing-Yuan Wang, Jian-Feng Zhao:
  Cryptanalysis on a parallel keyed hash function based on chaotic neural network. 3224-3228
• 
  Songnian Zhao, Qi Zou, Zhen Jin, Guozheng Yao, Li Yao:
  A computational model of early vision based on synchronized response and inner product operation. 3229-3241
• 
  J. S. Lim, Mohamed Azlan Hussain, Mohamed Kheireddine Aroua:
  Control of a hydrolyzer in an oleochemical plant using neural network based controllers. 3242-3255
• 
  Fen Wang, Huaiyu Wu:
  Mean square exponential stability and periodic solutions of stochastic interval neural networks with mixed time delays. 3256-3263
• 
  Qing Zhang, Minho Lee:
  A hierarchical positive and negative emotion understanding system based on integrated analysis of visual and brain signals. 3264-3272
• 
  Md. Monirul Kabir, Md. Monirul Islam, Kazuyuki Murase:
  A new wrapper feature selection approach using neural network. 3273-3283
• 
  Pavel Hering, Miroslav Simandl:
  Sequential optimal experiment design for neural networks using multiple linearization. 3284-3290
• 
  Hongyi Li, Chuan Wang, Peng Shi, Huijun Gao:
  New passivity results for uncertain discrete-time stochastic neural networks with mixed time delays. 3291-3299
• 
  Kai Wang, Yanling Zhu:
  Stability of almost periodic solution for a generalized neutral-type neural networks with delays. 3300-3307

Letters

• 
  Dexuan Zou, Liqun Gao, Jianhua Wu, Steven Li:
  Novel global harmony search algorithm for unconstrained problems. 3308-3318
• 
  André L. V. Coelho, Diego Silveira Costa Nascimento:
  On the evolutionary design of heterogeneous Bagging models. 3319-3322
• 
  Olexiy O. Kyrgyzov, Deniz Erdogmus:
  Numerical optimization of a sum-of-rank-1 decomposition for n-dimensional order-p symmetric tensors. 3323-3327
• 
  Veerabhadrappa, Lalitha Rangarajan:
  Diagonal and secondary diagonal locality preserving projection for object recognition. 3328-3333
• 
  Qi Zhu:
  Reformative nonlinear feature extraction using kernel MSE. 3334-3337