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ICNN 1993: San Francisco, CA, USA
- Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28 - April 1, 1993. IEEE 1993
Volume 1
- Bernard Widrow, Michael A. Lehr, Françoise Beaufays, Eric A. Wan, Michel Bilello:
Learning algorithms for adaptive processing and control. 1-8 - Ethem Alpaydin:
Multiple networks for function learning. 9-14 - Fawad Rauf
, Hassan M. Ahned:
A universal structure for artificial neural networks. 15-20 - Yolanda M. Pires, Dilip Sarkar:
Back-propagation algorithm with controlled oscillation of weights. 21-26 - Jón Atli Benediktsson
Parallel consensual neural networks. 27-32 - Zheng Zeng, Rodney M. Goodman, Padhraic Smyth:
Self-clustering recurrent networks. 33-38 - Fu-Sheng Tsung, Garrison W. Cottrell:
Hopf bifurcation and Hopf hopping in recurrent nets. 39-45 - Claus Svarer
On design and evaluation of tapped-delay neural network architectures. 46-51 - Sathyanarayan S. Rao, Viswanath Ramamurti:
A hybrid technique to enhance the performance of recurrent neural networks for time series prediction. 52-57 - José Pedro Segundo, Jean-François Vibert, Michael Stiber, Sylvain Hanneton
Synaptic coding of periodically modulated spike trains. 58-63 - Kiyohiko Nakamura:
Temporal competition as an optimal parallel processing of the cerebrohypothalamic system. 64-69 - Kuniharu Arai, Edward L. Keller, Jay A. Edelman:
A spatio-temporal neural network model of saccade generation. 70-74 - Michael Stiber, José Pedro Segundo:
Dynamics of synaptic transfer in living and simulated neurons. 75-80 - Ping Liang, Kai Jin:
Solving search problems with subgoals using an artificial neural network. 81-86 - Mert Sungur, Ugur Halici:
Solving the serializability problem by a connectionist machine. 87-92 - Thomas Fritsch, P. H. Kraus, H. Przuntek, Phuoc Tran-Gia:
Classification of Parkinson rating-scale-data using a selforganising neural net. 93-98 - Tadasu Uchiyama, Noboru Sonehara:
Solving inverse problems in nonlinear PDEs by recurrent neural networks. 99-102 - Ray-I Chang
Force directed self-organizing map and its application to VLSI cell placement. 103-109 - Brion K. Dolenko, Howard C. Card:
The effects of analog hardware properties on backpropagation networks with on-chip learning. 110-115 - Micah S. Siegel:
An analog VLSI model of central pattern generation in the medicinal leech. 116-119 - Chia-Jiu Wang, Chwan-Hwa John Wu:
Analog neural networks solve ambiguity problems in medium PRF radar systems. 120-125 - Joe-E Hu, Pepe Siy:
Stereo correspondence through multiple constraint neural networks. 126-131 - Kamran Etemad, Rama Chellappa:
A neural network based edge detector. 132-137 - Jörg Kopecz:
A cortical structure for real world image processing. 138-143 - Bruce L. Digney, Madan M. Gupta:
A distributed adaptive control system for a quadruped mobile robot. 144-149 - Guo-Qing Wei, Gerd Hirzinger, Bernhard Brunner:
Sensorimotor coordination and sensor fusion by neural networks. 150-155 - Akira Hirose:
Motion controls using complex-valued neural networks with feedback loops. 156-161 - Shengfa Hu, Pingfan Yan, Yanda Li:
On self-consistent sensory-motor learning algorithm. 162-167 - Jing Peng, Ronald J. Williams:
Efficient learning and planning within the Dyna framework. 168-174 - Sebastian Thrun:
Exploration and model building in mobile robot domains. 175-180 - Long-Ji Lin:
Hierarchical learning of robot skills by reinforcement. 181-186 - Lichun Wang, P. N. Denbigh:
Monaural localization using combination of TD ( lambda ) with backpropagation. 187-190 - John R. Koza, Martin A. Keane, James P. Rice:
Performance improvement of machine learning via automatic discovery of facilitating functions as applied to a problem of symbolic system identification. 191-198 - Shai Oliker, Merrick L. Furst, Oded Maimon:
Design architectures and training of neural networks with a distributed genetic algorithm. 199-202 - Michael McInerney, Atam P. Dhawan:
Use of genetic algorithms with backpropagation in training of feedforward neural networks. 203-208 - Takanori Shibata, Toshio Fukuda:
Coordinative behavior in evolutionary multi-agent system by genetic algorithm. 209-214 - Li Fu, Tinghuai Chen:
Sensitivity analysis for input vector in multilayer feedforward neural networks. 215-218 - Ryotaro Kamimura:
Minimum entropy methods in neural networks: competition and selective responses by entropy minimization. 219-225 - R. S. Shadafan, M. Niranjan:
A dynamic neural network architecture by sequential partitioning of the input space. 226-231 - Ja C. Koo, Benito Fernández:
Geometric error correction using hierarchical/hybrid artificial neural systems. 232-237 - Saman K. Halgamuge
A rule based prototype system for automatic classification in industrial quality control. 238-243 - Fabio Crestani:
Learning strategies for an adaptive information retrieval system using neural networks. 244-249 - Sandro Ridella
Pruning and rule extraction using class entropy. 250-256 - Raymond Lister:
Annealing networks and fractal landscapes. 257-262 - Zhongliang Jing, Guawei Zhang, Hongren Zhou:
A quick algorithm of neural combinatorial optimization to data association problem of multimaneuvering target tracking. 263-268 - Keihiro Ochiai
Improved kick out learning algorithm with delta-bar-delta-bar rule. 269-274 - M. Kemal Unaltuna, Mehmet Emin Dalkiliç, Vijay Pitchumani:
Solving the scheduling problem in high level synthesis using a normalized mean field neural network. 275-280 - Nadine N. Tschichold-Gürman, Vlad G. Dabija:
Meaning-based handling of don't care attributes in artificial neural networks. 281-286 - Pinaki Poddar, P. V. S. Rao:
Hierarchical ensemble of neural networks. 287-292 - Babak Hassibi, David G. Stork, Gregory J. Wolff:
Optimal Brain Surgeon and general network pruning. 293-299 - Jianchang Mao, Anil K. Jain:
Discriminant analysis neural networks. 300-305 - Hidetomo Ichihashi, M. Tokunaga:
Neuro-fuzzy optimal control of backing up a trailer truck. 306-311 - Sandra Sulzberger, Nadine N. Tschichold-Gürman, Sjur J. Vestli:
FUN: optimization of fuzzy rule based systems using neural networks. 312-316 - Hiroshi Narazaki, Anca L. Ralescu:
Implementation of fuzzy systems using multilayered neural network. 317-322 - Hahn-Ming Lee, Chia-Shing Lai:
Supervised fuzzy ART: training of a neural network for pattern classification via combining supervised and unsupervised learning. 323-328 - W. Hsu, Loke-Soo Hsu, Manoel Fernando Tenorio:
A ClusNet architecture for prediction. 329-334 - Alison A. Dingle, John H. Andreae, Richard D. Jones
A chaotic neural unit. 335-340 - Edwin R. Hancock
A Bayesian interpretation for the Hopfield network. 341-346 - Bo-Hyeun Wang, Seak Bai Koh, Seung Kwon Ahn:
Hybrid location-content addressable memory. 347-352 - Hidetoshi Nishimori, Ioan Opris:
Retrieval process of an associative memory with nonmonotonic input-output function. 353-358 - Joydeep Ghosh, Shaoyun Wang:
A temporal memory network with state-dependent thresholds. 359-364 - C. N. Zhang, M. Wang, G. Z. Yao:
Calculus relations in spatial summation and determination of macro connection in neuronal networks. 365-370 - Marco Budinich:
Some notes on perceptron learning. 371-376 - Yoshifusa Ito:
Extension of approximation capability of three layered neural networks to derivatives. 377-381 - Ramiro Rico-Martínez, Ioannis G. Kevrekidis, Raymond A. Adomaitis:
Noninvertibility in neural networks. 382-386 - Jianping Huang, Anthony Kuh:
A neural network isolated word recognition system for moderate sized databases. 387-391 - Marijke F. Augusteijn, Tammy L. Skufca:
Identification of human faces through texture-based feature recognition and neural network technology. 392-398 - Keiji Yamada:
Inverse recall neural network model and feedback pattern recognition. 399-406 - Jürgen Schmidhuber:
A neural network that embeds its own meta-levels. 407-412 - LiMin Fu:
A neural network model for real-time adaptive clustering. 413-416 - Lasse Holmström, Ari Hämäläinen:
The self-organizing reduced kernel density estimator. 417-421 - Petri Myllymäki, Henry Tirri:
Bayesian case-based reasoning with neural networks. 422-427 - Chong-Ho Choi, Jin Young Choi:
Construction of neural networks for piecewise approximation of continuous functions. 428-433 - T. P. Washburne, D. F. Specht, R. M. Drake:
Identification of unknown categories with probabilistic neural networks. 434-437 - Sung-Woo Kim, Ju-Jang Lee:
Unknown parameter identification of parameterized system using multi-layered neural network. 438-443 - H. Chris Tseng, J. Gary Liu:
Scalability in neural network design: an add-on scheme. 444-449 - Justine Blackmore, Risto Miikkulainen:
Incremental grid growing: encoding high-dimensional structure into a two-dimensional feature map. 450-455 - Hiroshi Zarazaki, Anca L. Ralescu:
A connectionist approach for default inference and conflict resolution. 456-461 - Chang-Jiu Chen, John Y. Cheung:
Recursive neural networks with high capacity. 462-465 - Goutam Chakraborty, Norio Shiratori, Shoichi Noguchi:
A quickly trained ANN with single hidden layer Gaussian units. 466-472 - Yo Horikawa:
Non-monotonic firing rate of a coupled FitzHugh-Nagumo model. 473-478 - Hown-Wen Chen, Von-Wun Soo:
Design of adaptive and incremental feed-forward neural networks. 479-484 - Kazutaka Yamasaki, Hidemitsu Ogawa:
A theory of over-learning in the presence of noise. 485-488 - Kwan F. Cheung, Patrick Y. H. Tang:
Sigma-delta modulation neural networks. 489-493 - Hahn-Ming Lee, Weng-Tang Wang:
Training of neural network classifier by combining hyperplane with exemplar approach. 494-499 - Bruce E. Segee:
Using spectral techniques for improved performance in artificial neural networks. 500-505 - William C. Torrez, Jayson T. Durham, Richard D. Trueblood:
Performance measures for neural nets using Johnson distributions. 506-510 - James Tin-Yau Kwok, Dit-Yan Yeung:
Experimental analysis of input weight freezing in constructive neural networks. 511-516 - Donna L. Hudson, Maurice E. Cohen:
Use of fractional powers to moderate neuronal contributions. 517-522 - Stephen J. Koffman, Peter H. Mechl:
Gaussian network variants: a preliminary study. 523-528 - Kin Fui Fong, A. P. Loh
MRAC of nonlinear systems using neural networks with recursive least squares adaptation. 529-533 - Jianbin Hao, Shaohua Tan, Joos Vandewalle:
A rule-based neural controller for inverted pendulum system. 534-539 - Dan Simon:
Neural network-based robot trajectory generation. 540-545 - Kunio Iwata, Joydeep Ghosh, Yoan Shin:
Time optimal control using pi-sigma networks. 546-551 - Saiful Akhyar, Sigeru Omatu:
Neuromorphic self-tuning PID controller. 552-557 - D. H. Rao, Madan M. Gupta:
Dynamic neural controller with somatic adaptation. 558-563 - Can Isik, A. Mete Çakmakci:
Identification of a nonlinear multivariable dynamic process using feed-forward networks. 564-567 - Chris M. Jubien, Nikitas J. Dimopoulos:
Identification of a PUMA-560 two-link robot using a stable neural network. 568-572 - Su Zhou, Dobrivoje Popovic, Günter Schulz-Ekloff:
An improved learning law for backpropagation networks. 573-579 - Gang Li, Hussein Alnuweiri, Yuejian Wu, Hongbing Li:
Acceleration of back propagation through initial weight pre-training with delta rule. 580-585 - Martin A. Riedmiller, Heinrich Braun:
A direct adaptive method for faster backpropagation learning: the RPROP algorithm. 586-591 - A. P. Loh
Backpropagation using generalized least squares. 592-597 - Wouter F. Schmidt, Sarunas Raudys, Martin A. Kraaijveld, Marina Skurikhina, Robert P. W. Duin:
Initializations, back-propagation and generalization of feed-forward classifiers. 598-604 - Antonio Chella
Supervised learning for feed-forward neural networks: a new minimax approach for fast convergence. 605-609 - Piero P. Bonissone
Fuzzy logic controllers: from development to deployment. 610-619
Volume 2
- Malcolm I. Heywood
Simple addition to back-propagation learning for dynamic weight pruning, sparse network extraction and faster learning. 620-625 - Chedsada Chinrungrueng, Carlo H. Séquin:
Adaptive k-means algorithm with error-weighted deviation measure. 626-631 - Atsushi Sato, Keiji Yamada, Jun Tsukumo:
A multi-template learning method based on LVQ. 632-637 - Herbert J. Reitboeck, Michael Stöcker, Christoph Hahn:
Object separation in dynamic neural networks. 638-641 - Muriel D. Ross:
Neuroanatomy of neural networks of the vestibular system: vestibular maculas as prototypic neuronal networks. 642-647 - Andras J. Pellionisz, David L. Tomko, Charles C. Jorgensen:
Artificial cerebellum ACE: tensor network transformer enabling virtual movement in virtual environment: facilitating teleoperation in telepresence. 648-654 - Daiki Masumoto, Takashi Kimoto, Shigemi Nagata:
A sensory information processing system using neural networks. 655-660 - Willie Chang, Hamdy S. Soliman, Andrew H. Sung:
Preserving visual perception by learning natural clustering. 661-666 - Christoph Bregler, Stefan Manke, Hermann Hild, Alex Waibel:
Bimodal sensor integration on the example of 'speechreading'. 667-671 - Gregory J. Wolff:
Sensory fusion: integrating visual and auditory information for recognizing speech. 672-677 - Jiansheng Feng, Wenjing Tao, Hans Burkhardt:
A neural network approach to the consistent labeling problem. 678-683 - Raymond Lister:
Visualizing weight dynamics in the N-2-N encoder. 684-689 - T. I. Liu, K. S. Anantharaman:
On-line sensing of drill wear using neural network approach. 690-694 - Manfred Mittler, Phuoc Tran-Gia:
Performance of a neural net scheduler used in packet switching interconnection networks. 695-700 - Yiwen Wang:
Analog CMOS implementation of backward error propagation. 701-706 - Il-Song Han:
Modular neural network hardware implementation of analog-digital mixed operation. 707-710 - Jeffrey A. Dickson, Robert D. McLeod, Howard C. Card:
Stochastic arithmetic implementations of neural networks with in situ learning. 711-716 - Jen-Dong Yuh, Robert W. Newcomb:
A novel counter circuit using a multi-level neuron with a self-feedback weight. 717-720 - Sugata Ghosal, Rajiv Mehrotra:
A two-stage neural net for segmentation of range images. 721-726 - Gilles Burel
Image compression using topological maps and MLP. 727-731 - Jean-Luc Anton, Patrick Marchal, Yves Burnod:
A neural network for perceptual grouping, based on architecture of the primary visual cortex, efficient for texture segregation in complex natural images. 732-736 - Judy A. Franklin:
Three applications of artificial neural networks for control. 737-742 - D. H. Rao, Madan M. Gupta:
Dynamic neural unit and function approximation. 743-748 - W. Cheng, J. T. Wen:
A neural controller for the tracking control of flexible arms. 749-754 - Giacomo M. Bisio, Daniele D. Caviglia
A neural network architectural model of visual cortical cells for texture segregation. 755-760 - Tohru Yagi, Kazutoshi Gouhara
An algorithm of eye movement in selective fixation. 761-765 - Kurapati Venkatesh, Oren Masory, Abhijit Pandya:
A high level Petri net model of olfactory bulb. 766-771 - Andrew H. Fagg, József Fiser
Low level modeling of the development of directionally selective microcircuits in cat striate cortex. 772-777 - Donald L. Prados:
A fast supervised-learning algorithm for large, multilayered neural networks. 778-782 - Ching-Tai Chiu, Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka
Robustness of feedforward neural networks. 783-788 - H. Chris Tseng, Victor H. Hwang, Ling Lu:
A fast supervised learning scheme for recurrent neural networks with application to associative memory design. 789-793 - Rajiv Khosla, Tharam S. Dillon:
Task decomposition and competing expert system-artificial neural net objects for reliable and real time inference. 794-800 - C. Lee Giles
Rule refinement with recurrent neural networks. 801-806 - M. Meng:
A neural production system and its application in visual-guided mobile robot navigation. 807-812 - J. H. van Deemter, H. A. K. Mastebroek:
A neural network solution for the correspondence problem. 813-819 - Thomas Martinetz, Klaus Schulten:
A neural network with Hebbian-like adaptation rules learning visuomotor coordination of a PUMA robot. 820-822 - Thomas Fritsch, Stefan Hanshans:
An integrated approach to cellular mobile communication planning using traffic data prestructured by a self-organizing feature map. 822-D - Josiah C. Hoskins, Glenn A. Kramer:
Synthesis of mechanical linkages using artificial neural networks and optimization. 822-J - Christine Decaestecker
NNP: a neural net classifier using prototypes. 822-O - Dan Simon, Hossny El-Sherief:
A fault tolerant optimal interpolative net. 825-830 - Bandula W. Dahanayake, A. R. M. Upton:
Derivation of momentum LMS algorithms by minimizing objective functions. 831-835 - Bedri C. Cetin, Joel W. Burdick, Jacob Barhen:
Global descent replaces gradient descent to avoid local minima problem in learning with artificial neural networks. 836-842 - Volkmar Sterzing, B. Schürmann:
Recurrent neural networks for temporal learning of time series. 843-850 - V. Chandrasekaran, Marimuthu Palaniswami, Terry M. Caelli
Gradient computation in time delayed recurrent neural network with memory for static input-output mapping under stability constraint. 851-856 - Liang Li, Simon Haykin:
A cascaded recurrent neural network for real-time nonlinear adaptive filtering. 857-862 - John R. McDonnell, Don Waagen:
Evolving neural network connectivity. 863-868 - Sam-Kit Sin, Rui J. P. deFigueiredo:
A method for the design of evolutionary multilayer neural networks. 869-874 - David B. Fogel:
Using evolutionary programing to create neural networks that are capable of playing tic-tac-toe. 875-880 - Kenneth E. Kinnear Jr.:
Evolving a sort: lessons in genetic programming. 881-888 - Klaus-Robert Müller
Associative storage and retrieval of highly correlated natural pattern sets in diluted Hopfield networks. 889-894 - Joerg Ueberla, Arun K. Jagota:
The hybrid Hopfield-clique memory with perfect storage. 895-900 - Hoon Kang:
Multi-layer associative neural networks (MANN): storage capacity vs. noise-free recall. 901-907 - Bruce E. Rosen, James M. Goodwin:
Large scale simulations of a spin glass image associative memory. 908-913 - Heinz Walter Werntges:
Partitions of unity improve neural function approximators. 914-918 - Robert R. N. Bakker, Martin A. Kraaijveld, Robert P. W. Duin, Wouter F. Schmidt:
On the speed of training networks with correlated features. 919-922 - Momiao Xiong, Jonathan P. Arnold
A neural network model based on differential-algebraic equations for nonlinear programming. 923-928 - Colin R. Jones, Chi Ping Tsang:
On the convergence of feedforward neural networks incoporating terminal attractors. 929-935 - S. Fanelli, M. Di Martino, Marco Protasi:
An efficient algorithm for the binary classification of patterns using MLP-networks. 936-943 - Yannis A. Dimitriadis
On-line handwritten symbol recognition, using an ART based neural network hierarchy. 944-949 - Janet M. Twomey, Alice E. Smith
Power curves for pattern classification networks. 950-955 - David K. Y. Chiu:
Towards an event-space self-configurable neural network. 956-961 - Moshe Sipper
A serial complexity measure of neural networks. 962-966 - S. A. Khaparde, Harish Gandhi:
Use of Kohonen's self-organizing network as a pre-quantizer. 967-971 - Songhe Zhao, Tharam S. Dillon:
An asynchronous neural network model for shortest path problem. 972-976 - Dan Xu, Itsuo Kumazawa:
Single minimum method for combinatorial optimization problems and an efficient algorithm of TSP problem. 977-982 - Fu-Chuang Chen, Mao-Hsing Lin:
On the learning and convergence of the radial basis networks. 983-988 - Chir-Ho Chang, Jin-Ling Lin, J. Y. Cheung:
Polynomial and standard higher order neural network. 989-994 - Donald I. Soloway:
Improved convergence for output scaling of a feedforward network with linear output nodes. 995-997 - Mohamad H. Hassoun, Ali M. Nabha:
Implementation of O(n) complexity max/min circuits for fuzzy and connectionist computing. 998-1003 - H. Y. Xu, G. Vukovich:
Robotic modeling and control using a fuzzy neural network. 1004-1009 - Hidetomo Ichihashi, I. Burhan Türksen:
A neuro-fuzzy approach with pairwise comparisons. 1010-1015 - Derek A. Linkens, Junhong Nie:
Fuzzified RBF network-based learning control: structure and self-construction. 1016-1021 - Detlef D. Nauck, Rudolf Kruse:
A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation. 1022-1027 - Chi-Cheng Jou:
Comparing learning performance of neural networks and fuzzy systems. 1028-1033 - Xiaofan Yang, Tinghuai Chen:
Inherent fault tolerance analysis for a class of multi-layer neural networks with weight deviations. 1034-1039 - Richard W. Prager
Networks based on Kanerva's sparse distributed memory: results showing their strengths and limitations and a new algorithm to design the location matching layer. 1040-1045 - Yo-Ping Huang, Donald Gustafson:
Noise corrupted pattern retrieval capability for sparsely encoded associative memory. 1046-1050 - Jukka Vanhala
Sparse distributed memory for multivalued patterns. 1051-1056 - Toshiaki Tanaka, Miki Yamada:
A new associative memory which inhibits a meaningless output. 1057-1062 - Tal Grossman, Arun Jagota:
On the equivalence of two Hopfield-type networks. 1063-1068 - Xinhua Zhuang, Yan Huang:
Design of Hopfield content-addressable memories. 1069-1074 - Enrique Carlos Segura:
Training a Hopfield memory with noisy examples. 1075-1080 - C. W. Tong, K. P. Lam:
Analog implementations of a binary relation inference network for minimum cost path problems. 1081-1085 - Tohru Nakagawa, Katsuhiko Murakami, Hajime Kitagawa:
Strictly digital neurocomputer based on a paradigm of constraint set programming for solving combinatorial optimization problems. 1086-1091 - M. Aourid, Bozena Kaminska:
Neural networks for solving the quadratic 0-1 programming problem under linear constraints. 1092-1095 - Shirish Bhide, Nigel M. John, Mansur R. Kabuka:
A real-time solution for the traveling salesman problem using a Boolean neural network. 1096-1103 - Dan Adler:
Genetic algorithms and simulated annealing: a marriage proposal. 1104-1109 - Yoshiaki Ichikawa, Yoshikazu Ishii:
Retaining diversity of genetic algorithms for multivariable optimization and neural network learning. 1110-1114 - Charles C. Peck, Atam P. Dhawan, Claudia M. Meyer:
Genetic algorithm based input selection for a neural network function approximator with applications to SSME health monitoring. 1115-1122 - Norio Shimamoto, Atsushi Hiramatsu, Kimiyoshi Yamasaki:
A dynamic routing control based on a genetic algorithm. 1123-1128 - Antonette M. Logar, Edward M. Corwin, William J. B. Oldham:
A comparison of recurrent neural network learning algorithms. 1129-1134 - Liang Jin, Peter N. Nikiforuk, Madan M. Gupta:
Dynamics and stability of multilayered recurrent neural networks. 1135-1140 - Jean-François Jodouin:
Putting the simple recurrent network to the test. 1141-1146
Volume 3
- Teuvo Kohonen:
Things you haven't heard about the self-organizing map. 1147-1156 - Xiangui Yu, Nan K. Loh, William C. Miller:
A new acceleration technique for the backpropagation algorithm. 1157-1161 - Julie A. Dickerson, Bart Kosko:
Fuzzy function learning with covariance ellipsoids. 1162-1167 - Volnei A. Pedroni, Amnon Yariv:
Learning in the hypercube. 1168-1171 - Pierre Baldi, Nikzad Benny Toomarian:
Learning trajectories with a hierarchy of oscillatory modules. 1172-1176 - Cheng-Chin Chiang, Hsin-Chia Fu:
Neural network construction using multi-threshold quadratic sigmoidal neurons. 1177-1182 - Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard:
The problem of learning long-term dependencies in recurrent networks. 1183-1188 - Gintaras V. Puskorius, Lee A. Feldkamp:
Practical considerations for Kalman filter training of recurrent neural networks. 1189-1195 - Dong Chen, C. Lee Giles
Constructive learning of recurrent neural networks. 1196-1201 - Marc M. Van Hulle:
An unsupervised learning rule for vector normalization and gain control. 1202-1206 - Werner Pöchmüller, Manfred Glesner, H. Juergs:
Is LVQ really good for classification?-an interesting alternative. 1207-1212 - Nandakishore Kambhatla, Todd K. Leen:
Fast nonlinear dimension reduction. 1213-1218 - Tom Heskes
Error potentials for self-organization. 1219-1223 - Luis Rabelo, Yuehwern Yih
Intelligent FMS scheduling using modular neural networks. 1224-1229 - Yuri V. Orlov, Igor Persiantsev, Sergey P. Rebrik:
Application of neural networks to fluorescent diagnostics of organic pollution in natural waters. 1230-1235 - Phil A. Errington, Jim Graham:
Classification of chromosomes using a combination of neural networks. 1236-1241 - Ferran Lisa, Jordi Carrabina, Conrado J. Pérez Vicente, Narcís Avellana, Elena Valderrama:
Two-bit weights are enough to solve vehicle license number recognition problem. 1242-1246 - R. Timothy Edwards, Michael D. Godfrey:
An analog wavelet transform chip. 1247-1251 - Naleih M. Botros, M. Abdul-Aziz:
Hardware implementation of an artificial neural network. 1252-1257 - Dean W. Mueller, Dan Hammerstrom:
A neural network systems component. 1258-1264 - Edward A. Rietman, Robert C. Frye, Earl R. Lory:
Process models and network complexity. 1265-1269 - Jean Koh, Minsoo Suk, Suchendra M. Bhandarkar:
A multi-layer Kohonen's self-organizing feature map for range image segmentation. 1270-1275 - Atam P. Dhawan, Louis Arata:
Segmentation of medical images through competitive learning. 1277-1282 - Dushan Z. Badal:
Neural network based object recognition in images. 1283-1288 - Rahmat Shoureshi, S. Reynold Chu:
Hopfield-based adaptive state estimators. 1289-1294 - D. U. Ekong, M. H. Adb-El-Barr, H. C. Wood:
Design of fault tolerant neurocontrollers using immunization technique. 1295-1300 - Girish Govind, P. A. Ramamoorthy:
An adaptive-topology neural architecture and algorithm for nonlinear system identification. 1301-1306 - Subramania I. Sudharsanan, I. Muhsin, Malur K. Sundareshan:
Self-tuning adaptive control of multi-input, multi-output nonlinear systems using multilayer recurrent neural networks with application to synchronous power generators. 1307-1312 - Lawrence W. Stark:
Neural nets, random design and reverse engineering. 1313-1320 - Pietro Mazzoni, Richard A. Andersen:
The role of neural networks in the study of the posterior parietal cortex. 1321-1326 - Shiro Usui, Shigeki Nakauchi:
Color opponency as the internal representation acquired by a three-layered neural network model. 1327-1332 - Victor Eliashberg:
A relationship between neural networks and programmable logic arrays. 1333-1337 - Waleed Fakhr, Mohamed I. Elmasry:
Minimum description length pruning and maximum mutual information training of adaptive probabilistic neural networks. 1338-1342 - Mohamad T. Musavi:
Receptive field estimation for Gaussian-based neural networks. 1343-1347 - Hans G. C. Tråvén:
Invariance constraints for improving generalization in probabilistic neural networks. 1348-1353 - Sukhan Lee, Shunichi Shimoji:
BAYESNET: Bayesian classification network based on biased random competition using Gaussian kernels. 1354-1359 - Joseph Sirosh, Risto Miikkulainen:
How lateral interaction develops in a self-organizing feature map. 1360-1365 - Pau-Choo Chung, Yi-Nung Chung, Ching-Tsorng Tsai:
Quantization effects of Hebbian-type associative memories. 1366-1370 - Yukio Kumagai, Joarder Kamruzzaman
Further cross talk reduction of associative memory and exact data retrieval. 1371-1378 - M. Vidyasagar:
Convergence of higher-order neural networks with modified updating. 1379-1384 - Hiro-Fumi Yanai, Shun-ichi Amari:
A theory on a neural net with nonmonotone neurons. 1385-1390 - Peter T. Szymanski, Michael D. Lemmon:
Adaptive mixtures of local experts are source coding solutions. 1391-1396 - Raqui Kane, Maurice Milgram:
Extraction of semantic rules from trained multilayer neural networks. 1397-1401 - Antonio Carlos Gay Thomé, Manoel Fernando da Mota Tenorio:
Analysis, modeling and estimation through a similarity based approach: an economic signal case study. 1402-1407 - Akira Iwata, Norihiko Kobayashi:
Combined mutually connected neural network model for higher order association. 1408-1413 - Simon M. Lucas
On decomposing MLPs. 1414-1418 - Apostolos Nikolaos Refenes, Magali E. Azema-Barac, A. D. Zapranis:
Stock ranking: neural networks vs multiple linear regression. 1419-1426 - Suryan Stalin, T. V. Sreenivas:
Vectorized backpropagation and automatic pruning for MLP network optimization. 1427-1432 - Roseli Aparecida Francelin Romero, Fernando A. C. Gomide:
A neural network to solve discrete dynamic programming problems. 1433-1438 - Yiu-fai Wong:
CMAC learning is governed by a single parameter. 1439-1443 - Naonori Ueda, Ryohei Nakano:
A competitive and selective learning method for designing optimal vector quantizers. 1444-1450 - V. Ashley Walker, John Hallam, David Willshaw:
Bee-havior in a mobile robot: the construction of a self-organized cognitive map and its use in robot navigation within a complex, natural environment. 1451-1456 - Harold Szu, Jung Kim, Insook Kim:
Self-architecture-theory and experiment of biological neural network. 1457-1462 - Yasundo Takahashi:
Adaptive predictive control of nonlinear time-varying systems using neural networks. 1464-1468 - Wilson X. Wen, V. Pang, Andrew Jennings:
Self-generating vs. self-organizing, what's different? 1469-1473 - V. Chandrasekaran, Marimuthu Palaniswami
An extended self-organizing map with gated neurons. 1474-1479 - Vesa T. Ruoppila, Timo Sorsa, Heikki N. Koivo:
Recursive least-squares approach to self-organizing maps. 1480-1485 - Jenq-Neng Hwang, Shyh-Rong Lay, Alan F. Lippman:
Unsupervised learning for multivariate probability density estimation: radial basis and projection pursuit. 1486-1491 - Philip S. Maclin, Jack Dempsey:
A neural network to diagnose liver cancer. 1492-1497 - C. L. Janer, J. M. Quero, Leopoldo García Franquelo
Fully parallel summation in a new stochastic neural network architecture. 1498-1503 - Hinrich Schütze:
Distributed syntactic representations with an application to part-of-speech tagging. 1504-1509 - Andreas König, Harald Genther, Manfred Glesner:
Neural and associative modules in a hybrid dynamic system for visual industrial quality control. 1510-1515 - Jianfeng Feng
Analysis of Linsker-type Hebbian learning: rigorous results. 1516-1521 - Ramiro Rico-Martínez, Ioannis G. Kevrekidis:
Continuous time modeling of nonlinear systems: a neural network-based approach. 1522-1525 - Arun Jagota:
Optimization by reduction to maximum clique. 1526-1531 - Fred Y. Wu, Jeremy D. Slater, R. Eugene Ramsay, Lawrence S. Honig:
Feature extraction of event-related potential waveforms by neural networks. 1532-1537 - Urbashi Mitra, H. Vincent Poor:
Neural network techniques for multi-user demodulation. 1538-1543 - Toufic I. Boubez, Richard L. Peskin:
Wavelet neural networks and receptive field partitioning. 1544-1549 - Hirofumi Nagashino, Koji Kakuyama, Yohsuke Kinouchi:
Generation of traveling wave mode in a chained neural oscillator network model. 1550-1557 - Ying Liu:
Image compression using stochastic neural networks. 1558-1563 - Andrew J. Worth, David N. Kennedy:
Employing shape to aid magnetic resonance brain segmentation. 1564-1569 - Zhenjiang Miao, Baozong Yuan:
A new analytical method for AM neural networks and its application to pattern recognition. 1570-1575 - Michael C. Moed, Chih-Ping Lee:
Design of an elliptical neural network with application to degraded character classification. 1576-1582 - David M. Weber:
Parallel implementation of time delay neural networks for phoneme recognition. 1583-1587 - Jin Wang, Jack Jean:
Multiresolution neural networks for omnifont character recognition. 1588-1593 - M. E. Ulug:
A pattern recognition ANN that acts as its own in-band and/or bandpass filter. 1594-1599 - Cheng-An Hung, Sheng-Fuu Lin:
An ARTMAP based hybrid neural network for shift invariant Chinese character recognition. 1600-1605 - Shyam W. Khobragade, Ajoy K. Ray:
Connectionist network for feature extraction and classification of English alphabetic characters. 1606-1611 - Wee Kheng Leow, Risto Miikkulainen:
Representing visual schemas in neural networks for scene analysis. 1612-1617 - Thomas M. English, Maria del Pilar Gomez-Gil, William J. B. Oldham:
A comparison of neural network and nearest-neighbor classifiers of handwritten lower-case letters. 1618-1621 - Keith R. L. Godfrey, Yiannis Attikiouzel:
Self-organized color image quantization for color image data compression. 1622-1626 - Ulrich Bodenhausen, Alex Waibel:
Application oriented automatic structuring of time-delay neural networks for high performance character and speech recognition. 1627-1632 - Mohamed Daoudi
A display oriented technique for interactive pattern recognition by multilayer neural network. 1633-1637 - Yoshikuni Okawa, Takayuki Suyama:
Parallel computation of neural networks in a processor pipeline with partially shared memory. 1638-1643 - M. J. Creaney, Raouf N. Gorgui-Naguib
A scaly artificial neural network architecture for isolated word recognition using the British Telecommunications English alphabet database. 1644-1649 - Hisao Ishibuchi, Hideo Tanaka, Hidehiko Okada:
Fuzzy neural networks with fuzzy weights and fuzzy biases. 1650-1655 - Hui-Juan Liu, Yi Sun:
Blind bilevel image restoration using Hopfield neural networks. 1656-1661 - David M. Weber, C. C. Krüger:
Detection of tonals in lofargrams using connectionist methods. 1662-1666 - S. K. Michael Wong, Y. J. Cai, Y. Y. Yao:
An application of neural networks in adaptive information retrieval. 1667-1671 - Bettina Harrienhausen-Mühlbauer, Andreas Koop:
SCRIPT-a prototype for the recognition of continuous, cursive, handwritten input by means of a neural network simulator. 1672-1677 - Thomas H. Hildebrandt:
A local neural implementation of histogram equalization. 1678-1683 - Najwa Sara Orzechowsk, Soundar R. T. Kumara, Chita R. Das:
Performance of multilayer neural networks in binary-to-binary mappings under weight errors. 1684-1689 - Gerd Pfeiffer:
Maximum likelihood sequence estimation of minimum shift keying modulated signals using a Hopfield neural network. 1690-1695 - Jenq-Neng Hwang, Yen-Hao Tseng:
3D motion estimation using single perspective sparse range data via surface reconstruction neural networks. 1696-1701 - Jenq-Neng Hwang, Eric Tsung-Yen Chen:
Textured image segmentation via neural network probabilistic modeling. 1702-1707 - A. C. Ramamurthy, Mirana Uriquidi-Macdonald:
Stone impact damage to automotive paint finishes-a neural net analysis of electrochemical impedance data. 1708-1712 - Marek B. Zaremba, Eugeniusz Porada, Wojtek J. Bock:
An approximation network for measurement systems. 1713-1718 - Shahla Keyvan, Ajaya Durg, Luis Carlos Rabelo:
Evaluation of the performance of various artificial neural networks to the signal fault diagnosis in nuclear reactor systems. 1719-1723 - A. Majumder, R. Dandapani:
Neural networks as massively parallel automatic test pattern generators. 1724-1730 - James M. Lamiell, John A. Ward, Julia K. Hilliard:
Detection of type-specific herpes virus antibodies by neural network classification of Western blot densitometer scans. 1731-1736 - Urs A. Müller, Anton Gunzinger, Walter Guggenbühl:
Neural net simulation with MUSIC. 1737-1741 - M. J. Syu, George T. Tsao:
Neural network approach to identify batch cell growth. 1742-1747 - Takashi Yukawa, Tsutomu Ishikawa:
Optimal parallel back-propagation schemes for mesh-connected and bus-connected multiprocessors. 1748-1753 - Robert J. F. Dow, Jocelyn Sietsma:
Using neural networks for underwater target ranging. 1754-1758 - Fivos Panetsos
An application of neural networks in the control of chemical reactors. 1759-1763 - Ton Weijters, Johan Thole:
Speech synthesis with artificial neural networks. 1764-1769 - Nazeih M. Botros, M. Siddiqi, M. Z. Deiri:
Automatic speech recognition using hidden Markov models and artificial neural networks. 1770-1775 - Heidar A. Malki, Jeffrey L. Baldwin:
On the comparison results of the neural networks trained using well-logs from one service company and tested on another service company's data. 1776-1779 - Xin Feng, Jessica Y. Schulteis:
Identification of high noise time series signals using hybrid ARMA modeling and neural network approach. 1780-1785 - Andreas S. Weigend, Neil A. Gershenfeld:
Results of the time series prediction competition at the Santa Fe Institute. 1786-1793 - John R. Koza:
Simultaneous discovery of detectors and a way of using the detectors via genetic programming. 1794-1801 - Bo Ling, Fathi M. A. Salam:
An analytical learning algorithm for the dendro-dendritic artificial neural network via linear programming. 1802-1807 - Jacek M. Zurada:
Lambda learning rule for feedforward neural networks. 1808-1811 - R. J. Gaynier, Tom Downs:
A method of training multi-layer networks with heaviside characteristics using internal representations. 1812-1817 - Paolo Frasconi, Marco Gori, Alberto Tesi:
Backpropagation for linearly-separable patterns: A detailed analysis. 1818-1822 - Yingyong Qi, Bobby R. Hunt, Ning Bi:
The use of fuzzy membership in network training for isolated word recognition. 1823-1828 - David B. Fogel, Patrick K. Simpson:
Evolving fuzzy clusters. 1829-1834 - Myriam Regattieri Delgado, Fernando José Von Zuben, A. F. Rocha:
Neurofuzzy interpolation. II. Reducing complexity of description. 1835-1840 - Michael Vogt:
Combination of radial basis function neural networks with optimized learning vector quantization. 1841-1846 - Bruce E. Segee, Michael J. Carter:
Comparative fault tolerance of generalized radial basis function and multilayer perceptron networks. 1847-1852 - Thomas Parisini, Riccardo Zoppoli:
Radial basis functions and multilayer feedforward neural networks for optimal control of nonlinear stochastic systems. 1853-1858 - Shyh-Rong Lay, Jenq-Neng Hwang:
Robust construction of radial basis function networks for classification. 1859-1864 - Wei-Ren Chang, Benito Fernández:
Improved CNC machining using NARMA neural systems. 1865-1870 - François Blanc, Sandrine Allemand, Michel Dufossé, Elie Sanchez:
Neural and cognitive modeling of analogical reasoning. 1871-1875 - Takeki Nogami, Yoshihide Yokoi, Masao Kasai, Katsunori Kawai, Katsuhisa Takaura:
Failure diagnosis system on pneumatic control valves by neural network. 1876-1881 - Richard G. Stearns:
Implementation of a multilayer perceptron network using an optically addressed photoconductive array. 1882-1889 - Andreas Zell, Niels Mache, Marco Vogt, Markus Hüttel:
Problems of massive parallelism in neural network simulation. 1890-1895 - Young-Keun Park, Vladimir Cherkassky:
Neural network controller for rearrangeable switching networks. 1896-1901 - Neal Bhadkamkar, Boyd Fowler:
A sound localization system based on biological analogy. 1902-1907 - Anupam Joshi, Chia-Hoang Lee:
Using elastic nets for correspondence in range data. 1908-1913 - John M. Colombi
Auditory model representation and comparison for speaker recognition. 1914-1919 - Jin-Shiuh Taur, Sun-Yuan Kung:
Prediction-based networks with ECG application. 1920-1925 - Edward S. Plumer:
Time-optimal terminal control using neural networks. 1926-1931 - Masayoshi Kamijo:
Classifying fingerprint images using neural network: deriving the classification state. 1932-1937 - Kazuo Sakai, Tsuyoshi Katayama, Satoshi Wada, Kotaro Oiwa:
Perspective reversal caused by chaotic switching in PDP schema model. 1938-1943 - Hiroyuki Ichiki, Masafumi Hagiwara, Masao Nakagawa:
Kohonen feature maps as a supervised learning machine. 1944-1948 - Subutai Ahmad, Volker Tresp:
Classification with missing and uncertain inputs. 1949-1954 - Dean A. Scribner, K. A. Sarkady, Melvin R. Kruer, John T. Caulfield, J. D. Hunt, M. Colbert, M. Descour:
Adaptive retina-like preprocessing for imaging detector arrays. 1955-1960 - Yasuo Kurematsu, Takuji Maeda, Shinzo Kitamura:
Autonomous trajectory generation of a biped locomotive robot using neuro oscillator. 1961-1966 - Patrick K. Simpson, Gary Jahns:
Fuzzy min-max neural networks for function approximation. 1967-1972 - Ferdinando A. Mussa-Ivaldi, Francesca Gandolfo:
Networks that approximate vector-valued mappings. 1973-1978 - Gao-Wei Chang, Po-Rong Chang:
Neural plant inverse control approach to color error reduction for scanner and printer. 1979-1983
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