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15. ICANN 2005: Warsaw, Poland
- Wlodzislaw Duch, Janusz Kacprzyk, Erkki Oja, Slawomir Zadrozny:
Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3697, Springer 2005, ISBN 3-540-28755-8
New Neural Network Models
- Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Valeriya Poyedyntseva:
Neuro-fuzzy Kolmogorov's Network. 1-6 - Matteo Gagliolo, Jürgen Schmidhuber:
A Neural Network Model for Inter-problem Adaptive Online Time Allocation. 7-12 - Ana M. González, Iván Cantador, José R. Dorronsoro:
Discriminant Parallel Perceptrons. 13-18 - Maciej Krawczak:
A Way to Aggregate Multilayer Neural Networks. 19-24 - Maciej Krawczak:
Generalized Net Models of MLNN Learning Algorithms. 25-30 - Bernhard Lang:
Monotonic Multi-layer Perceptron Networks as Universal Approximators. 31-37 - Laurent Orseau:
Short Term Memories and Forcing the Re-use of Knowledge for Generalization. 39-44 - Yong-Quan Zhou, Licheng Jiao:
Interpolation Mechanism of Functional Networks. 45-51
Supervised Learning Algorithms
- Mohammed Attik, Laurent Bougrain, Frédéric Alexandre:
Neural Network Topology Optimization. 53-58 - Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss:
Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks. 59-65 - Wlodzislaw Duch:
Support Vector Neural Training. 67-72 - Ananda Jagadeesan, Grant M. Maxwell, Christopher MacLeod:
Evolutionary Algorithms for Real-Time Artificial Neural Network Training. 73-78 - Przemyslaw Pretki, Marcin Witczak:
Developing Measurement Selection Strategy for Neural Network Models. 79-84 - Masaru Sakamoto, Dong Duo, Yoshihiro Hashimoto, Toshiaki Itoh:
Nonlinear Regression with Piecewise Affine Models Based on RBFN. 85-90 - Jorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre
:
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria. 91-96 - Timo Similä, Jarkko Tikka:
Multiresponse Sparse Regression with Application to Multidimensional Scaling. 97-102 - Alagappan Viswanathan, Christopher MacLeod, Grant M. Maxwell, Sashank Kalidindi:
Training Neural Networks Using Taguchi Methods: Overcoming Interaction Problems. 103-108 - David Wedge, David M. Ingram, David McLean, Clive G. Mingham, Zuhair Bandar:
A Global-Local Artificial Neural Network with Application to Wave Overtopping Prediction. 109-114
Ensemble-Based Learning
- Pitoyo Hartono, Shuji Hashimoto:
Learning with Ensemble of Linear Perceptrons. 115-120 - Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo:
Combination Methods for Ensembles of RBFs. 121-126 - Pavel Kordík, Miroslav Snorek:
Ensemble Techniques for Credibility Estimation of GAME Models. 127-132 - Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa:
Combination Methods for Ensembles of MF. 133-138 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
New Results on Ensembles of Multilayer Feedforward. 139-144
Unsupervised Learning
- Seungjin Choi:
On Variations of Power Iteration. 145-150 - Motoaki Kawanabe:
Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor. 151-156 - Minje Kim, Seungjin Choi:
On Spectral Basis Selection for Single Channel Polyphonic Music Separation. 157-162 - Barnabás Póczos, András Lörincz:
Independent Subspace Analysis Using k-Nearest Neighborhood Distances. 163-168
Recurrent Neural Networks
- Mohammad Assaad, Romuald Boné, Hubert Cardot:
Study of the Behavior of a New Boosting Algorithm for Recurrent Neural Networks. 169-174 - Romuald Boné, Hubert Cardot:
Time Delay Learning by Gradient Descent in Recurrent Neural Networks. 175-180 - Yasuaki Kuroe:
Representation and Identification Method of Finite State Automata by Recurrent High-Order Neural Networks. 181-189 - Krzysztof Patan, Józef Korbicz, Przemyslaw Pretki:
Global Stability Conditions of Locally Recurrent Neural Networks. 191-196
Reinforcement Learning
- Ireneusz Czarnowski, Piotr Jedrzejowicz:
An Agent-Based PLA for the Cascade Correlation Learning Architecture. 197-202 - Kary Främling:
Dual Memory Model for Using Pre-existing Knowledge in Reinforcement Learning Tasks. 203-208 - Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda:
Stochastic Processes for Return Maximization in Reinforcement Learning. 209-214 - Ryotaro Kamimura, Sachiko Aida-Hyugaji:
Maximizing the Ratio of Information to Its Cost in Information Theoretic Competitive Learning. 215-222 - Jürgen Schmidhuber:
Completely Self-referential Optimal Reinforcement Learners. 223-233 - Masashi Sugiyama, Klaus-Robert Müller
Model Selection Under Covariate Shift. 235-240
Bayesian Approaches to Learning
- Zhuo Gao, K. Y. Michael Wong:
Smooth Performance Landscapes of the Variational Bayesian Approach. 241-246 - Ramunas Girdziusas, Jorma Laaksonen:
Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering. 247-252 - Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi:
Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities. 253-259 - Xiao-Lin Li, Xiangdong He, Senmiao Yuan:
A New Method of Learning Bayesian Networks Structures from Incomplete Data. 261-266 - Ulrich Paquet, Sean B. Holden, Andrew Naish-Guzman:
Bayesian Hierarchical Ordinal Regression. 267-272 - Shiliang Sun, Changshui Zhang, Yi Zhang:
Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor. 273-278
Learning Theory
- Cédric Archambeau, Michel Verleysen:
Manifold Constrained Variational Mixtures. 279-284 - Pietro Berkes:
Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis. 285-287 - Leon Bobrowski:
Separable Data Aggregation in Hierarchical Networks of Formal Neurons. 289-294 - Slawomir Golak:
Induced Weights Artificial Neural Network. 295-300 - Thomas Martinetz, Kai Labusch, Daniel Schneegaß:
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification. 301-306 - Andrew Naish-Guzman, Sean B. Holden, Ulrich Paquet:
On the Explicit Use of Example Weights in the Construction of Classifiers. 307-312 - Rosa Eva Pruneda, Beatriz Lacruz, Cristina Solares:
A First Approach to Solve Classification Problems Based on Functional Networks. 313-318 - Leszek Rybicki:
A Description of a Simulation Environment and Neural Architecture for A-Life. 319-324 - Esther Scheurmann, Chris Matthews:
Neural Network Classifers in Arrears Management. 325-330 - Tomasz Walkowiak:
Sequential Classification of Probabilistic Independent Feature Vectors Based on Multilayer Perceptron. 331-336 - Naoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii:
Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers. 337-342 - Dmitry Zhora:
Evaluating Performance of Random Subspace Classifier on ELENA Classification Database. 343-349
Artificial Neural Networks for System Modeling, Decision Making, Optimalization and Control
- Rudwan Abdullah, Amir Hussain, Ali S. Zayed:
A New RBF Neural Network Based Non-linear Self-tuning Pole-Zero Placement Controller. 351-357 - Fernando Morgado Dias, Ana Antunes, José M. N. Vieira, Alexandre Manuel Mota:
Using the Levenberg-Marquardt for On-line Training of a Variant System. 359-364 - Christian W. Eurich, Klaus Pawelzik:
Optimal Control Yields Power Law Behavior. 365-370 - Luca Ferrarini, Hans Olofsen, Johan H. C. Reiber, Faiza Admiraal-Behloul:
A NeuroFuzzy Controller for 3D Virtual Centered Navigation in Medical Images of Tubular Structures. 371-376 - Daniel Gillblad, Anders Holst, Björn Levin:
Emulating Process Simulators with Learning Systems. 377-382 - Faustino J. Gomez, Jürgen Schmidhuber:
Evolving Modular Fast-Weight Networks for Control. 383-389 - Lidia Jackowska-Strumillo, Jan Sokolowski, Antoni Zochowski:
Topological Derivative and Training Neural Networks for Inverse Problems. 391-396 - Boris Kryzhanovsky, Bashir Magomedov:
Application of Domain Neural Network to Optimization Tasks. 397-403 - Leonid B. Litinskii:
Eigenvalue Problem Approach to Discrete Minimization. 405-410 - Rui Mata:
A Neurocomputational Approach to Decision Making and Aging. 411-416 - Jakub Mozaryn, Jerzy E. Kurek:
Comparison of Neural Network Robot Models with Not Inverted and Inverted Inertia Matrix. 417-422 - T. R. Mundon, Alan F. Murray, John Hallam, Leena N. Patel:
Causal Neural Control of a Latching Ocean Wave Point Absorber. 423-429 - Yutaka Nakamura, Takeshi Mori, Shin Ishii:
An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process. 431-436 - Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno:
A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop Control. 437-443 - Leena N. Patel, John Hallam, Alan F. Murray:
Improved, Simpler Neural Controllers for Lamprey Swimming. 445-450 - Daniel Sbarbaro, Gonzalo Carvajal:
Supervision of Control Valves in Flotation Circuits Based on Artificial Neural Network. 451-456 - Georgina Stegmayer:
Comparison of Volterra Models Extracted from a Neural Network for Nonlinear Systems Modeling. 457-463 - Georgina Stegmayer, Omar Chiotti:
Identification of Frequency-Domain Volterra Model Using Neural Networks. 465-471 - Sintiani Dewi Teddy, Edmund Ming-Kit Lai:
Hierarchical Clustering for Efficient Memory Allocation in CMAC Neural Network. 473-478
Special Session: Knowledge Extraction from Neural Networks
- Shadi Al Shehabi, Jean-Charles Lamirel:
Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models. 479-484 - David A. Elizondo, Mario Gongora:
Current Trends on Knowledge Extraction and Neural Networks. 485-490 - Jae-Hong Eom, Byoung-Tak Zhang:
Prediction of Yeast Protein-Protein Interactions by Neural Feature Association Rule. 491-496 - Mario Gongora, Tim Watson, David A. Elizondo:
A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries. 497-502 - Henrik Jacobsson, Tom Ziemke:
CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study. 503-508 - Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski:
Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques. 509-514 - Liz J. Stuart
Information Visualization for Knowledge Extraction in Neural Networks. 515-520 - Manolis Wallace, Nicolas Tsapatsoulis:
Combining GAs and RBF Neural Networks for Fuzzy Rule Extraction from Numerical Data. 521-526
Temporal Data Analysis, Prediction and Forecasting
- S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju. S. Shugai:
Neural Network Algorithm for Events Forecasting and Its Application to Space Physics Data. 527-532 - Carmen Fierascu:
Counterpropagation with Delays with Applications in Time Series Prediction. 533-539 - Juan Manuel Górriz Sáez, Javier Ramírez, Carlos García Puntonet, Fabian J. Theis, Elmar Wolfgang Lang:
Bispectrum-Based Statistical Tests for VAD. 541-546 - André Grüning:
Back-Propagation as Reinforcement in Prediction Tasks. 547-552 - Antti Sorjamaa, Jin Hao, Amaury Lendasse:
Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction. 553-558 - Wen Wang, Pieter H. A. J. M. van Gelder, J. K. Vrijling:
Some Issues About the Generalization of Neural Networks for Time Series Prediction. 559-564 - Jing-Xin Xie, Chuntian Cheng, Bin Yu, Qing-Rui Zhang:
Multi-step-ahead Prediction Based on B-Spline Interpolation and Adaptive Time-Delay Neural Network. 565-570
Support Vector Machines and Kernel-Based Methods
- Shigeo Abe:
Training of Support Vector Machines with Mahalanobis Kernels. 571-576 - Rutger W. ter Borg, Léon J. M. Rothkrantz:
Smooth Bayesian Kernel Machines. 577-582 - Habiboulaye Amadou Boubacar, Stéphane Lecoeuche:
A New Kernel-Based Algorithm for Online Clustering. 583-588 - Sabri Boughorbel
The LCCP for Optimizing Kernel Parameters for SVM. 589-594 - Sabri Boughorbel
The GCS Kernel for SVM-Based Image Recognition. 595-600 - Angel Cataron, Razvan Andonie:
Informational Energy Kernel for LVQ. 601-606 - Zeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak:
Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines. 607-612 - Ariel García-Gamboa, Neil Hernández-Gress, Miguel González-Mendoza
A Comparison of Different Initialization Strategies to Reduce the Training Time of Support Vector Machines. 613-618 - Dimitris A. Karras
A Hierarchical Support Vector Machine Based Solution for Off-line Inverse Modeling in Intelligent Robotics Applications. 619-624 - Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen:
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator. 625-630 - Alberto Muñoz, Javier M. Moguerza:
Building Smooth Neighbourhood Kernels via Functional Data Analysis. 631-636 - Stanislaw Osowski, Tran Haoi Linh, Tomasz Markiewicz:
Recognition of Heartbeats Using Support Vector Machine Networks - A Comparative Study. 637-642 - Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
Componentwise Support Vector Machines for Structure Detection. 643-648 - Jochen J. Steil:
Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. 649-654
Soft Computing Methods for Data Representation, Analysis and Processing
- A. Andrés-Andrés, Eduardo Gómez-Sánchez, Miguel L. Bote-Lorenzo:
Incremental Rule Pruning for Fuzzy ARTMAP Neural Network. 655-660 - Janusz Kacprzyk, Grazyna Szkatula:
An Inductive Learning Algorithm with a Partial Completeness and Consistence via a Modified Set Covering Problem. 661-666 - Mikaela Keller, Samy Bengio:
A Neural Network for Text Representation. 667-672 - Anna Maria Radzikowska:
A Fuzzy Approach to Some Set Approximation Operations. 673-678 - Rohana K. Rajapakse, Angelo Cangelosi, Kenny R. Coventry, Steve Newstead, Alison Bacon:
Connectionist Modeling of Linguistic Quantifiers. 679-684 - Vicenç Soler, Jordi Roig, Marta Prim:
Fuzzy Rule Extraction Using Recombined RecBF for Very-Imbalanced Datasets. 685-690 - Armando Vieira:
An Iterative Artificial Neural Network for High Dimensional Data Analysis. 691-696 - Slawomir Zadrozny, Janusz Kacprzyk, Magdalena Gola:
Towards Human Friendly Data Mining: Linguistic Data Summaries and Their Protoforms. 697-702
Special Session: Data Fusion for Industrial, Medical and Environmental Applications
- Mohamed Amin Latif, Saeid Sanei, Jonathon A. Chambers:
Localization of Abnormal EEG Sources Incorporating Constrained BSS. 703-708 - Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Seungjin Choi:
Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach. 709-714 - Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tülay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde
Data Fusion for Modern Engineering Applications: An Overview. 715-721 - Giuseppe Nunnari, Flavio Cannavó:
Modified Cost Functions for Modelling Air Quality Time Series by Using Neural Networks. 723-728 - Dragan Obradovic, Ruxandra Scheiterer:
Troubleshooting in GSM Mobile Telecommunication Networks Based on Domain Model and Sensory Information. 729-734 - Ramaswamy Palaniappan, Danilo P. Mandic:
Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? 735-740 - Tomasz M. Rutkowski, Danilo P. Mandic:
Communicative Interactivity - A Multimodal Communicative Situation Classification Approach. 741-746 - Ruxandra Scheiterer, Dragan Obradovic:
Bayesian Network Modeling Aspects Resulting from Applications in Medical Diagnostics and GSM Troubleshooting. 747-752 - David Sommer, Mo Chen, Martin Golz, Udo Trutschel, Danilo P. Mandic:
Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection. 753-759 - Mika Sulkava, Pasi Rautio, Jaakko Hollmén:
Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations. 761-767 - Fabian J. Theis, Toshihisa Tanaka:
A Fast and Efficient Method for Compressing fMRI Data Sets. 769-777 - Mohamed Chetouani, Amir Hussain, Marcos Faúndez-Zanuy
Non-linear Predictive Models for Speech Processing. 779-784
Special Session: Intelligent Multimedia and Semantics
- Marcos Faúndez-Zanuy
Predictive Speech Coding Improvements Based on Speaker Recognition Strategies. 785-791 - Bruno Gas, Mohamed Chetouani, Jean-Luc Zarader, Christophe Charbuillet:
Predictive Kohonen Map for Speech Features Extraction. 793-798 - Alex Graves, Santiago Fernández, Jürgen Schmidhuber:
Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition. 799-804 - Sébastien Herry:
Improvement in Language Detection by Neural Discrimination in Comparison with Predictive Models. 805-810 - Alexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis:
Learning Ontology Alignments Using Recursive Neural Networks. 811-816 - Manolis Falelakis, Christos Diou, Manolis Wallace, Anastasios Delopoulos:
Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited. 817-822 - Dimitrios I. Kosmopoulos:
Automated Extraction of Object- and Event-Metadata from Gesture Video Using a Bayesian Network. 823-828 - Jeff Z. Pan, Giorgos B. Stamou, Vassilis Tzouvaras, Ian Horrocks:
f-SWRL: A Fuzzy Extension of SWRL. 829-834 - Giorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos:
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. 835-840 - Mats Sjöberg, Jorma Laaksonen:
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps. 841-846 - Evaggelos Spyrou, Hervé Le Borgne, Theofilos P. Mailis, Eddie Cooke, Yannis Avrithis, Noel E. O'Connor:
Fusing MPEG-7 Visual Descriptors for Image Classification. 847-852
Applications to Natural Language Proceesing
- Tomasz Kaplon, Jacek Mazurkiewicz:
The Method of Inflection Errors Correction in Texts Composed in Polish Language - A Concept. 853-858 - Mieczyslaw A. Klopotek, Slawomir T. Wierzchon, Krzysztof Ciesielski, Michal Draminski, Dariusz Czerski:
Coexistence of Fuzzy and Crisp Concepts in Document Maps. 859-864 - Yukihiro Tsuboshita, Hiroshi Okamoto:
Information Retrieval Based on a Neural-Network System with Multi-stable Neurons. 865-872 - Norifumi Watanabe, Shun Ishizaki:
Neural Coding Model of Associative Ontology with Up/Down State and Morphoelectrotonic Transform. 873-879
Various Applications
- Tatyana I. Aksenova, Vladimir Volkovich, Alessandro E. P. Villa
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks. 881-886 - Reza Asgary, Karim Mohammadi:
A New Probabilistic Neural Network for Fault Detection in MEMS. 887-892 - Reza Asgary, Karim Mohammadi:
Analog Fault Detection Using a Neuro Fuzzy Pattern Recognition Method. 893-898 - Kazimierz Brudzewski, Stanislaw Osowski, Tomasz Markiewicz, Jan Ulaczyk:
Support Vector Machine for Recognition of Bio-products in Gasoline. 899-904 - Emilio Corchado, Álvaro Herrero, José Manuel Sáiz:
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition. 905-910 - Roberto Gil-Pita, Manuel Rosa-Zurera, Pilar Jarabo Amores, Francisco López-Ferreras:
Using Multilayer Perceptrons to Align High Range Resolution Radar Signals. 911-916 - David de la Mata-Moya, Pilar Jarabo Amores, Manuel Rosa-Zurera, Francisco López-Ferreras, Raul Vicen-Bueno:
Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks. 917-922 - Paul Merlin, Bertrand Maillet:
Completing Hedge Fund Missing Net Asset Values Using Kohonen Maps and Constrained Randomization. 923-928 - Steffen Müller, Alexander Koenig, Horst-Michael Gross:
Neural Architecture for Concurrent Map Building and Localization Using Adaptive Appearance Maps. 929-934 - Muhammad Javed, Amir Hussain, Alexander Neskovic, Evan H. Magill:
New Neural Network Based Mobile Location Estimation in a Metropolitan Area. 935-941 - Takahiro Nakano, Masahiro Nagamatu:
Lagrange Neural Network for Solving CSP Which Includes Linear Inequality Constraints. 943-948 - Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos:
Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. 949-954 - Liguo Shuai, Yinghui Kuang, Xuemei Wang, Xu Yanfang:
Research on Electrotactile Representation Technology Based on Spatiotemporal Dual-Channel. 955-961 - Andrew Skabar:
Application of Bayesian MLP Techniques to Predicting Mineralization Potential from Geoscientific Data. 963-968 - Kairong Zhang, Masahiro Nagamatu:
Solving Satisfiability Problem by Parallel Execution of Neural Networks with Biases. 969-974
Special Session: Computational Intelligence in Games
- Colin Fyfe:
Local vs Global Models in Pong. 975-980 - Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk:
Evolution of Heuristics for Give-Away Checkers. 981-987 - Tapani Raiko:
Nonlinear Relational Markov Networks with an Application to the Game of Go. 989-996 - Jean Marc Salotti:
Flexible Decision Process for Astronauts in Marsbase Simulator. 997-1002
Issues in Hardware Implementation
- Ralf Eickhoff, Ulrich Rückert:
Tolerance of Radial Basis Functions Against Stuck-At-Faults. 1003-1008 - Juan Huo, Alan F. Murray:
The Role of Membrane Threshold and Rate in STDP Silicon Neuron Circuit Simulation. 1009-1014 - Jacek Mazurkiewicz:
Systolic Realization of Kohonen Neural Network. 1015-1020 - Martin J. Pearson, Ian Gilhespy, Kevin N. Gurney, Chris Melhuish, Benjamin Mitchinson, Mokhtar Nibouche, Anthony G. Pipe:
A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor. 1021-1026 - Brian Taba, Kwabena Boahen:
Balancing Guidance Range and Strength Optimizes Self-organization by Silicon Growth Cones. 1027-1034
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