Table of Contents

• Neuro-fuzzy Kolmogorov s NetworkYevgeniy Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Valeriya Poyedyntseva. 1-6 [doi]
• A Neural Network Model for Inter-problem Adaptive Online Time AllocationMatteo Gagliolo, Jürgen Schmidhuber. 7-12 [doi]
• Discriminant Parallel PerceptronsAna M. González, Iván Cantador, José R. Dorronsoro. 13-18 [doi]
• A Way to Aggregate Multilayer Neural NetworksMaciej Krawczak. 19-24 [doi]
• Generalized Net Models of MLNN Learning AlgorithmsMaciej Krawczak. 25-30 [doi]
• Monotonic Multi-layer Perceptron Networks as Universal ApproximatorsBernhard Lang. 31-37 [doi]
• Short Term Memories and Forcing the Re-use of Knowledge for GeneralizationLaurent Orseau. 39-44 [doi]
• Interpolation Mechanism of Functional NetworksYong-Quan Zhou, Li-cheng Jiao. 45-51 [doi]
• Neural Network Topology OptimizationMohammed Attik, Laurent Bougrain, Frédéric Alexandre. 53-58 [doi]
• Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function NetworksYevgeniy Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss. 59-65 [doi]
• Support Vector Neural TrainingWlodzislaw Duch. 67-72 [doi]
• Evolutionary Algorithms for Real-Time Artificial Neural Network TrainingAnanda Jagadeesan, Grant M. Maxwell, Christopher MacLeod. 73-78 [doi]
• Developing Measurement Selection Strategy for Neural Network ModelsPrzemyslaw Pretki, Marcin Witczak. 79-84 [doi]
• Nonlinear Regression with Piecewise Affine Models Based on RBFNMasaru Sakamoto, Dong Duo, Yoshihiro Hashimoto, Toshiaki Itoh. 85-90 [doi]
• Batch-Sequential Algorithm for Neural Networks Trained with Entropic CriteriaJorge M. Santos, Joaquim Marques de Sá, Luís A. Alexandre. 91-96 [doi]
• Multiresponse Sparse Regression with Application to Multidimensional ScalingTimo Similä, Jarkko Tikka. 97-102 [doi]
• Training Neural Networks Using Taguchi Methods: Overcoming Interaction ProblemsAlagappan Viswanathan, Christopher MacLeod, Grant M. Maxwell, Sashank Kalidindi. 103-108 [doi]
• A Global-Local Artificial Neural Network with Application to Wave Overtopping PredictionDavid Wedge, David Ingram, David McLean, Clive G. Mingham, Zuhair Bandar. 109-114 [doi]
• Learning with Ensemble of Linear PerceptronsPitoyo Hartono, Shuji Hashimoto. 115-120 [doi]
• Combination Methods for Ensembles of RBFsCarlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo. 121-126 [doi]
• Ensemble Techniques for Credibility Estimation of GAME ModelsPavel Kordík, Miroslav Snorek. 127-132 [doi]
• Combination Methods for Ensembles of MFJoaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa. 133-138 [doi]
• New Results on Ensembles of Multilayer FeedforwardJoaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo. 139-144 [doi]
• On Variations of Power IterationSeungjin Choi. 145-150 [doi]
• Linear Dimension Reduction Based on the Fourth-Order Cumulant TensorMotoaki Kawanabe. 151-156 [doi]
• On Spectral Basis Selection for Single Channel Polyphonic Music SeparationMinje Kim, Seungjin Choi. 157-162 [doi]
• Independent Subspace Analysis Using ::::k::::-Nearest Neighborhood DistancesBarnabás Póczos, András Lörincz. 163-168 [doi]
• Study of the Behavior of a New Boosting Algorithm for Recurrent Neural NetworksMohammad Assaad, Romuald Boné, Hubert Cardot. 169-174 [doi]
• Time Delay Learning by Gradient Descent in Recurrent Neural NetworksRomuald Boné, Hubert Cardot. 175-180 [doi]
• Representation and Identification Method of Finite State Automata by Recurrent High-Order Neural NetworksYasuaki Kuroe. 181-189 [doi]
• Global Stability Conditions of Locally Recurrent Neural NetworksKrzysztof Patan, Józef Korbicz, Przemyslaw Pretki. 191-196 [doi]
• An Agent-Based PLA for the Cascade Correlation Learning ArchitectureIreneusz Czarnowski, Piotr Jedrzejowicz. 197-202 [doi]
• Dual Memory Model for Using Pre-existing Knowledge in Reinforcement Learning TasksKary Främling. 203-208 [doi]
• Stochastic Processes for Return Maximization in Reinforcement LearningKazunori Iwata, Hideaki Sakai, Kazushi Ikeda. 209-214 [doi]
• Maximizing the Ratio of Information to Its Cost in Information Theoretic Competitive LearningRyotaro Kamimura, Sachiko Aida-Hyugaji. 215-222 [doi]
• Completely Self-referential Optimal Reinforcement LearnersJürgen Schmidhuber. 223-233 [doi]
• Model Selection Under Covariate ShiftMasashi Sugiyama, Klaus-Robert Müller. 235-240 [doi]
• Smooth Performance Landscapes of the Variational Bayesian ApproachZhuo Gao, K. Y. Michael Wong. 241-246 [doi]
• Jacobi Alternative to Bayesian Evidence Maximization in Diffusion FilteringRamunas Girdziusas, Jorma Laaksonen. 247-252 [doi]
• Bayesian Learning of Neural Networks Adapted to Changes of Prior ProbabilitiesYoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi. 253-259 [doi]
• A New Method of Learning Bayesian Networks Structures from Incomplete DataXiaolin Li, Xiangdong He, Senmiao Yuan. 261-266 [doi]
• Bayesian Hierarchical Ordinal RegressionUlrich Paquet, Sean B. Holden, Andrew Naish-Guzman. 267-272 [doi]
• Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network PredictorShiliang Sun, Changshui Zhang, Yi Zhang. 273-278 [doi]
• Manifold Constrained Variational MixturesCédric Archambeau, Michel Verleysen. 279-284 [doi]
• Handwritten Digit Recognition with Nonlinear Fisher Discriminant AnalysisPietro Berkes. 285-287 [doi]
• Separable Data Aggregation in Hierarchical Networks of Formal NeuronsLeon Bobrowski. 289-294 [doi]
• Induced Weights Artificial Neural NetworkSlawomir Golak. 295-300 [doi]
• SoftDoubleMinOver: A Simple Procedure for Maximum Margin ClassificationThomas Martinetz, Kai Labusch, Daniel Schneegaß. 301-306 [doi]
• On the Explicit Use of Example Weights in the Construction of ClassifiersAndrew Naish-Guzman, Sean B. Holden, Ulrich Paquet. 307-312 [doi]
• A First Approach to Solve Classification Problems Based on Functional NetworksRosa Eva Pruneda, Beatriz Lacruz, Cristina Solares. 313-318 [doi]
• A Description of a Simulation Environment and Neural Architecture for A-LifeLeszek Rybicki. 319-324 [doi]
• Neural Network Classifers in Arrears ManagementEsther Scheurmann, Chris Matthews. 325-330 [doi]
• Sequential Classification of Probabilistic Independent Feature Vectors Based on Multilayer PerceptronTomasz Walkowiak. 331-336 [doi]
• Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary ClassifiersNaoto Yukinawa, Shigeyuki Oba, Kikuya Kato, Shin Ishii. 337-342 [doi]
• Evaluating Performance of Random Subspace Classifier on ELENA Classification DatabaseDmitry Zhora. 343-349 [doi]
• A New RBF Neural Network Based Non-linear Self-tuning Pole-Zero Placement ControllerRudwan Abdullah, Amir Hussain, Ali S. Zayed. 351-357 [doi]
• Using the Levenberg-Marquardt for On-line Training of a Variant SystemFernando Morgado Dias, Ana Antunes, José Vieira, Alexandre Manuel Mota. 359-364 [doi]
• Optimal Control Yields Power Law BehaviorChristian W. Eurich, Klaus Pawelzik. 365-370 [doi]
• A NeuroFuzzy Controller for 3D Virtual Centered Navigation in Medical Images of Tubular StructuresLuca Ferrarini, Hans Olofsen, Johan H. C. Reiber, Faiza Admiraal-Behloul. 371-376 [doi]
• Emulating Process Simulators with Learning SystemsDaniel Gillblad, Anders Holst, Björn Levin. 377-382 [doi]
• Evolving Modular Fast-Weight Networks for ControlFaustino J. Gomez, Jürgen Schmidhuber. 383-389 [doi]
• Topological Derivative and Training Neural Networks for Inverse ProblemsLidia Jackowska-Strumillo, Jan Sokolowski, Antoni Zochowski. 391-396 [doi]
• Application of Domain Neural Network to Optimization TasksBoris M. Kryzhanovsky, Bashir Magomedov. 397-403 [doi]
• Eigenvalue Problem Approach to Discrete MinimizationLeonid B. Litinskii. 405-410 [doi]
• A Neurocomputational Approach to Decision Making and AgingRui Mata. 411-416 [doi]
• Comparison of Neural Network Robot Models with Not Inverted and Inverted Inertia MatrixJakub Mozaryn, Jerzy E. Kurek. 417-422 [doi]
• Causal Neural Control of a Latching Ocean Wave Point AbsorberT. R. Mundon, Alan F. Murray, John Hallam, Leena N. Patel. 423-429 [doi]
• An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision ProcessYutaka Nakamura, Takeshi Mori, Shin Ishii. 431-436 [doi]
• A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop ControlYoshihiro Ohama, Naohiro Fukumura, Yoji Uno. 437-443 [doi]
• Improved, Simpler Neural Controllers for Lamprey SwimmingLeena N. Patel, John Hallam, Alan F. Murray. 445-450 [doi]
• Supervision of Control Valves in Flotation Circuits Based on Artificial Neural NetworkDaniel Sbarbaro, G. Carvajal. 451-456 [doi]
• Comparison of Volterra Models Extracted from a Neural Network for Nonlinear Systems ModelingGeorgina Stegmayer. 457-463 [doi]
• Identification of Frequency-Domain Volterra Model Using Neural NetworksGeorgina Stegmayer, Omar Chiotti. 465-471 [doi]
• Hierarchical Clustering for Efficient Memory Allocation in CMAC Neural NetworkSintiani Dewi Teddy, Edmund Ming-Kit Lai. 473-478 [doi]
• Knowledge Extraction from Unsupervised Multi-topographic Neural Network ModelsShadi Al Shehabi, Jean-Charles Lamirel. 479-484 [doi]
• Current Trends on Knowledge Extraction and Neural NetworksDavid A. Elizondo, Mario A. Góngora. 485-490 [doi]
• Prediction of ::::Yeast:::: Protein-Protein Interactions by Neural Feature Association RuleJae-Hong Eom, Byoung-Tak Zhang. 491-496 [doi]
• A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL QueriesMario A. Góngora, Tim Watson, David A. Elizondo. 497-502 [doi]
• CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case StudyHenrik Jacobsson, Tom Ziemke. 503-508 [doi]
• Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing TechniquesNikola Kasabov, Lubica Benuskova, Simei Gomes Wysoski. 509-514 [doi]
• Information Visualization for Knowledge Extraction in Neural NetworksLiz J. Stuart, Davide Marocco, Angelo Cangelosi. 515-520 [doi]
• Combining GAs and RBF Neural Networks for Fuzzy Rule Extraction from Numerical DataManolis Wallace, Nicolas Tsapatsoulis. 521-526 [doi]
• Neural Network Algorithm for Events Forecasting and Its Application to Space Physics DataS. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju. S. Shugai. 527-532 [doi]
• Counterpropagation with Delays with Applications in Time Series PredictionCarmen Fierascu. 533-539 [doi]
• Bispectrum-Based Statistical Tests for VADJuan Manuel Górriz Sáez, Javier Ramírez, Carlos García Puntonet, Fabian J. Theis, Elmar Wolfgang Lang. 541-546 [doi]
• Back-Propagation as Reinforcement in Prediction TasksAndré Grüning. 547-552 [doi]
• Mutual Information and ::::k::::-Nearest Neighbors Approximator for Time Series PredictionAntti Sorjamaa, Jin Hao, Amaury Lendasse. 553-558 [doi]
• Some Issues About the Generalization of Neural Networks for Time Series PredictionWen Wang, Pieter H. A. J. M. Van Gelder, J. K. Vrijling. 559-564 [doi]
• Multi-step-ahead Prediction Based on B-Spline Interpolation and Adaptive Time-Delay Neural NetworkJing-Xin Xie, Chun-Tian Cheng, Bin Yu, Qing-Rui Zhang. 565-570 [doi]
• Training of Support Vector Machines with Mahalanobis KernelsShigeo Abe. 571-576 [doi]
• Smooth Bayesian Kernel MachinesRutger W. ter Borg, Léon J. M. Rothkrantz. 577-582 [doi]
• A New Kernel-Based Algorithm for Online ClusteringHabiboulaye Amadou Boubacar, Stéphane Lecoeuche. 583-588 [doi]
• The LCCP for Optimizing Kernel Parameters for SVMSabri Boughorbel, Jean-Philippe Tarel, Nozha Boujemaa. 589-594 [doi]
• The GCS Kernel for SVM-Based Image RecognitionSabri Boughorbel, Jean-Philippe Tarel, François Fleuret, Nozha Boujemaa. 595-600 [doi]
• Informational Energy Kernel for LVQAngel Cataron, Razvan Andonie. 601-606 [doi]
• Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector MachinesZeki Erdem, Robi Polikar, Fikret S. Gürgen, Nejat Yumusak. 607-612 [doi]
• A Comparison of Different Initialization Strategies to Reduce the Training Time of Support Vector MachinesAriel García-Gamboa, Neil Hernández-Gress, Miguel González-Mendoza, Rodolfo Ibarra-Orozco, Jaime Mora-Vargas. 613-618 [doi]
• A Hierarchical Support Vector Machine Based Solution for Off-line Inverse Modeling in Intelligent Robotics ApplicationsDimitris A. Karras. 619-624 [doi]
• LS-SVM Hyperparameter Selection with a Nonparametric Noise EstimatorAmaury Lendasse, Yongnan Ji, Nima Reyhani, Michel Verleysen. 625-630 [doi]
• Building Smooth Neighbourhood Kernels via Functional Data AnalysisAlberto Muñoz, Javier M. Moguerza. 631-636 [doi]
• Recognition of Heartbeats Using Support Vector Machine Networks - A Comparative StudyStanislaw Osowski, Tran Haoi Linh, Tomasz Markiewicz. 637-642 [doi]
• Componentwise Support Vector Machines for Structure DetectionKristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor. 643-648 [doi]
• Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent LearningJochen J. Steil. 649-654 [doi]
• Incremental Rule Pruning for Fuzzy ARTMAP Neural NetworkA. Andrés-Andrés, Eduardo Gómez-Sánchez, Miguel L. Bote-Lorenzo. 655-660 [doi]
• An Inductive Learning Algorithm with a Partial Completeness and Consistence via a Modified Set Covering ProblemJanusz Kacprzyk, Grazyna Szkatula. 661-666 [doi]
• A Neural Network for Text RepresentationMikaela Keller, Samy Bengio. 667-672 [doi]
• A Fuzzy Approach to Some Set Approximation OperationsAnna Maria Radzikowska. 673-678 [doi]
• Connectionist Modeling of Linguistic QuantifiersRohana K. Rajapakse, Angelo Cangelosi, Kenny R. Coventry, Steve Newstead, Alison Bacon. 679-684 [doi]
• Fuzzy Rule Extraction Using Recombined RecBF for Very-Imbalanced DatasetsVicenç Soler, Jordi Roig, Marta Prim. 685-690 [doi]
• An Iterative Artificial Neural Network for High Dimensional Data AnalysisArmando Vieira. 691-696 [doi]
• Towards Human Friendly Data Mining: Linguistic Data Summaries and Their ProtoformsSlawomir Zadrozny, Janusz Kacprzyk, Magdalena Gola. 697-702 [doi]
• Localization of Abnormal EEG Sources Incorporating Constrained BSSMohamed Amin Latif, Saeid Sanei, Jonathon A. Chambers. 703-708 [doi]
• Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA ApproachByeong Il Lee, Jae Sung Lee, Dong Soo Lee, Seungjin Choi. 709-714 [doi]
• Data Fusion for Modern Engineering Applications: An OverviewDanilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tülay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde, Javier A. Barria, Anthony Constantinides, Jonathon A. Chambers. 715-721 [doi]
• Modified Cost Functions for Modelling Air Quality Time Series by Using Neural NetworksGiuseppe Nunnari, Flavio Cannavó. 723-728 [doi]
• Troubleshooting in GSM Mobile Telecommunication Networks Based on Domain Model and Sensory InformationDragan Obradovic, Ruxandra Scheiterer. 729-734 [doi]
• Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?Ramaswamy Palaniappan, Danilo P. Mandic. 735-740 [doi]
• Communicative Interactivity - A Multimodal Communicative Situation Classification ApproachTomasz M. Rutkowski, Danilo P. Mandic. 741-746 [doi]
• Bayesian Network Modeling Aspects Resulting from Applications in Medical Diagnostics and GSM TroubleshootingRuxandra Scheiterer, Dragan Obradovic. 747-752 [doi]
• Fusion of State Space and Frequency- Domain Features for Improved Microsleep DetectionDavid Sommer, Mo Chen, Martin Golz, Udo Trutschel, Danilo P. Mandic. 753-759 [doi]
• Combining Measurement Quality into Monitoring Trends in Foliar Nutrient ConcentrationsMika Sulkava, Pasi Rautio, Jaakko Hollmén. 761-767 [doi]
• A Fast and Efficient Method for Compressing fMRI Data SetsFabian J. Theis, Toshihisa Tanaka. 769-777 [doi]
• Non-linear Predictive Models for Speech ProcessingMohamed Chetouani, Amir Hussain, Marcos Faúndez-Zanuy, Bruno Gas. 779-784 [doi]
• Predictive Speech Coding Improvements Based on Speaker Recognition StrategiesMarcos Faúndez-Zanuy. 785-791 [doi]
• Predictive Kohonen Map for Speech Features ExtractionBruno Gas, Mohamed Chetouani, Jean-Luc Zarader, Christophe Charbuillet. 793-798 [doi]
• Bidirectional LSTM Networks for Improved Phoneme Classification and RecognitionAlex Graves, Santiago Fernández, Jürgen Schmidhuber. 799-804 [doi]
• Improvement in Language Detection by Neural Discrimination in Comparison with Predictive ModelsSébastien Herry. 805-810 [doi]
• Learning Ontology Alignments Using Recursive Neural NetworksAlexandros Chortaras, Giorgos B. Stamou, Andreas Stafylopatis. 811-816 [doi]
• Minimizing Uncertainty in Semantic Identification When Computing Resources Are LimitedManolis Falelakis, Christos Diou, Manolis Wallace, Anastasios Delopoulos. 817-822 [doi]
• Automated Extraction of Object- and Event-Metadata from Gesture Video Using a Bayesian NetworkDimitrios I. Kosmopoulos. 823-828 [doi]
• f-SWRL: A Fuzzy Extension of SWRLJeff Z. Pan, Giorgos B. Stamou, Vassilis Tzouvaras, Ian Horrocks. 829-834 [doi]
• An Analytic Distance Metric for Gaussian Mixture Models with Application in Image RetrievalGiorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos. 835-840 [doi]
• Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing MapsMats Sjöberg, Jorma Laaksonen. 841-846 [doi]
• Fusing MPEG-7 Visual Descriptors for Image ClassificationEvaggelos Spyrou, Hervé Le Borgne, Theofilos P. Mailis, Eddie Cooke, Yannis S. Avrithis, Noel E. O Connor. 847-852 [doi]
• The Method of Inflection Errors Correction in Texts Composed in Polish Language - A ConceptTomasz Kaplon, Jacek Mazurkiewicz. 853-858 [doi]
• Coexistence of Fuzzy and Crisp Concepts in Document MapsMieczyslaw A. Klopotek, Slawomir T. Wierzchon, Krzysztof Ciesielski, Michal Draminski, Dariusz Czerski. 859-864 [doi]
• Information Retrieval Based on a Neural-Network System with Multi-stable NeuronsYukihiro Tsuboshita, Hiroshi Okamoto. 865-872 [doi]
• Neural Coding Model of Associative Ontology with Up/Down State and Morphoelectrotonic TransformNorifumi Watanabe, Shun Ishizaki. 873-879 [doi]
• Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural NetworksTatyana I. Aksenova, Vladimir Volkovich, Alessandro E. P. Villa. 881-886 [doi]
• A New Probabilistic Neural Network for Fault Detection in MEMSReza Asgary, Karim Mohammadi. 887-892 [doi]
• Analog Fault Detection Using a Neuro Fuzzy Pattern Recognition MethodReza Asgary, Karim Mohammadi. 893-898 [doi]
• Support Vector Machine for Recognition of Bio-products in GasolineKazimierz Brudzewski, Stanislaw Osowski, Tomasz Markiewicz, Jan Ulaczyk. 899-904 [doi]
• Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern RecognitionEmilio Corchado, Álvaro Herrero, José Manuel Sáiz. 905-910 [doi]
• Using Multilayer Perceptrons to Align High Range Resolution Radar SignalsRoberto Gil-Pita, Manuel Rosa-Zurera, Pilar Jarabo Amores, Francisco López-Ferreras. 911-916 [doi]
• Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural NetworksD. de la Mata-Moya, Pilar Jarabo Amores, Manuel Rosa-Zurera, Francisco López-Ferreras, Raul Vicen-Bueno. 917-922 [doi]
• Completing Hedge Fund Missing Net Asset Values Using Kohonen Maps and Constrained RandomizationPaul Merlin, Bertrand Maillet. 923-928 [doi]
• Neural Architecture for Concurrent Map Building and Localization Using Adaptive Appearance MapsSteffen Mueller, Alexander Koenig, Horst-Michael Gross. 929-934 [doi]
• New Neural Network Based Mobile Location Estimation in a Metropolitan AreaMuhammad Javed, Amir Hussain, Alexander Neskovic, Evan H. Magill. 935-941 [doi]
• Lagrange Neural Network for Solving CSP Which Includes Linear Inequality ConstraintsTakahiro Nakano, Masahiro Nagamatu. 943-948 [doi]
• Modelling Engineering Problems Using Dimensional Analysis for Feature ExtractionNoelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos. 949-954 [doi]
• Research on Electrotactile Representation Technology Based on Spatiotemporal Dual-ChannelLiguo Shuai, Yinghui Kuang, Xuemei Wang, Xu Yanfang. 955-961 [doi]
• Application of Bayesian MLP Techniques to Predicting Mineralization Potential from Geoscientific DataAndrew Skabar. 963-968 [doi]
• Solving Satisfiability Problem by Parallel Execution of Neural Networks with BiasesKairong Zhang, Masahiro Nagamatu. 969-974 [doi]
• Local vs Global Models in PongColin Fyfe. 975-980 [doi]
• Evolution of Heuristics for Give-Away CheckersMagdalena Kusiak, Karol Waledzik, Jacek Mandziuk. 981-987 [doi]
• Nonlinear Relational Markov Networks with an Application to the Game of GoTapani Raiko. 989-996 [doi]
• Flexible Decision Process for Astronauts in Marsbase SimulatorJean Marc Salotti. 997-1002 [doi]
• Tolerance of Radial Basis Functions Against Stuck-At-FaultsRalf Eickhoff, Ulrich Rückert. 1003-1008 [doi]
• The Role of Membrane Threshold and Rate in STDP Silicon Neuron Circuit SimulationJuan Huo, Alan F. Murray. 1009-1014 [doi]
• Systolic Realization of Kohonen Neural NetworkJacek Mazurkiewicz. 1015-1020 [doi]
• A Real-Time, FPGA Based, Biologically Plausible Neural Network ProcessorMartin J. Pearson, Ian Gilhespy, Kevin N. Gurney, Chris Melhuish, Benjamin Mitchinson, Mokhtar Nibouche, Anthony G. Pipe. 1021-1026 [doi]
• Balancing Guidance Range and Strength Optimizes Self-organization by Silicon Growth ConesBrian Taba, Kwabena Boahen. 1027-1034 [doi]