Table of Contents

• A local search method for pattern classificationAndreas Alexander Albrecht, Martin J. Loomes, Kathleen Steinhöfel, Matthias Taupitz, Chak-Kuen Wong. 1-6 [doi]
• Recognition of consonant-vowel utterances using Support Vector MachinesChellu Chandra Sekhar, Kazuya Takeda, Fumitada Itakura. 7-12 [doi]
• Automatic relevance determination for Least Squares Support Vector Machines classifiersTony Van Gestel, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle. 13-18 [doi]
• Analysis of dynamic perfusion MRI data by neural networksAxel Wismüller, Oliver Lange, Dominik R. Dersch, Klaus Hahn, Gerda L. Leinsinger. 19-24 [doi]
• Visual self-localization with morphological neural networksBogdan Raducanu, Manuel Graña. 25-30 [doi]
• A stochastic and competitive network for the separation of sourcesCarlos García Puntonet, Ali Mansour, Manuel Rodríguez Álvarez, Beatriz Prieto, Ignacio Rojas Ruiz. 31-38 [doi]
• More on stationnary points in Independent Component AnalysisVincent Vigneron, Ludovic Aubry. 39-44 [doi]
• Perspectives on dedicated hardware implementationsDavide Anguita, Maurizio Valle. 45-56 [doi]
• CMOS design of focal plane programmable array processorsÁngel Rodríguez-Vázquez, Servando Espejo-Meana, Rafael Domínguez-Castro, Ricardo Carmona-Galán, Gustavo Liñán. 57-62 [doi]
• Matching analogue hardware with applications using the Products of Experts algorithmPatrice Fleury, Robin Woodburn, Alan F. Murray. 63-68 [doi]
• A microelectronic implementation of a bioinspired analog matrix for object segmentation of a visual sceneJordi Cosp, Jordi Madrenas. 69-74 [doi]
• Intelligent hardware for identification and control of non-linear systems with SVMAndrea Boni, Fabio Bardi. 75-80 [doi]
• Transfer functions: hidden possibilities for better neural networksWlodzislaw Duch, Norbert Jankowski. 81-94 [doi]
• Neural networks with orthogonalised transfer functionsPawel Strumillo, Wladyslaw Kaminski. 95-100 [doi]
• Optimal transfer function neural networksNorbert Jankowski, Wlodzislaw Duch. 101-106 [doi]
• Constructive density estimation network based on several different separable transfer functionsWlodzislaw Duch, Rafal Adamczak, Geerd H. F. Diercksen. 107-112 [doi]
• Coding the outputs of multilayer feedforwardMercedes Fernández-Redondo, Carlos Hernández-Espinosa. 113-118 [doi]
• Weight initialization methods for multilayer feedforwardMercedes Fernández-Redondo, Carlos Hernández-Espinosa. 119-124 [doi]
• An alternative approach for the evaluation of the neocognitronMichal Steuer, Praminda Caleb-Solly, Jim E. Smith. 125-130 [doi]
• Detection of cluster in Self-Organizing Maps for controlling a prostheses using nerve signalsMartin Bogdan, Wolfgang Rosenstiel. 131-136 [doi]
• Evolutionary algorithms and neural networks in hybrid systemsThomas Villmann. 137-152 [doi]
• Lamarckian training of feedforward neural networksPaulo Cortez, Miguel Rocha, José Neves. 153-158 [doi]
• Multiple Layer Perceptron training using genetic algorithmsUdo Seiffert. 159-164 [doi]
• Motor control and movement optimization learned by combining auto-imitative and genetic algorithmsKarl Theodor Kalveram, Ulrich Nakte. 165-170 [doi]
• Designing nearest neighbour classifiers by the evolution of a population of prototypesFernando Fernández, Pedro Isasi. 171-178 [doi]
• Investigating the influence of the neighborhood attraction factor to evolution strategies with neighborhood attractionJutta Huhse, Andreas Zell. 179-184 [doi]
• A structural genetic algorithm to optimize High Order Neural Network architectureI. Chalkiadakis, George A. Rovithakis, Michael E. Zervakis. 185-192 [doi]
• Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methodsDomingo Ortiz-Boyer, César Hervás-Martínez, José Muñoz-Pérez. 193-198 [doi]
• The synergy between multideme genetic algorithms and fuzzy systemsIgnacio Rojas Ruiz, José Luis Bernier, Eduardo Ros Vidal, Fernando J. Rojas, Carlos García Puntonet. 199-204 [doi]
• Efficient derivative-free Kalman filters for online learningRudolph van der Merwe, Eric A. Wan. 205-210 [doi]
• Texture analysis with the Volterra model using conjugate gradient optimisationAdam I. Wilmer, Tania Stathaki, Steve R. Gunn, Robert I. Damper. 211-216 [doi]
• Weight perturbation learning algorithm with local learning rate adaptation for the classification of remote-sensing imagesFrancesco Diotalevi, Maurizio Valle. 217-222 [doi]
• Some known facts about financial dataEric de Bodt, Joseph Rynkiewicz, Marie Cottrell. 223-236 [doi]
• Input data reduction for the prediction of financial time seriesAmaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen. 237-244 [doi]
• Prediction of foreign exchange rates by neural network and fuzzy system based techniquesVassilis S. Kodogiannis, A. Lolis. 245-250 [doi]
• Segmentation of switching dynamics with a Hidden Markov Model of neural prediction expertsAlex Aussem, C. Boutevin. 251-256 [doi]
• Searching the Web: learning based techniquesMichelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli. 257-264 [doi]
• An integrated neural IR systemVictoria J. Hodge, Jim Austin. 265-270 [doi]
• Relevance determination in Learning Vector QuantizationThorsten Bojer, Barbara Hammer, Daniel Schunk, Katharina Tluk von Toschanowitz. 271-276 [doi]
• Interpretation and comparison of multivariate data partitionsEsa Alhoniemi, Olli Simula. 277-282 [doi]
• Input pruning for neural gas architecturesBarbara Hammer, Thomas Villmann. 283-288 [doi]
• On the short-term-memory of WTA netsBrijnesh J. Jain, Fritz Wysotzki. 289-294 [doi]
• A novel chaotic neural network architectureNigel Crook, Tjeerd Olde Scheper. 295-300 [doi]
• Unsupervised models for processing visual dataDarryl Charles, Colin Fyfe. 301-308 [doi]
• Canonical correlation analysis in early vision processingMagnus Borga, Hans Knutsson. 309-314 [doi]
• A computational model of monkey grating cells for oriented repetitive alternating patternsTino Lourens, Kazuhiro Nakadai, Hiroshi G. Okuno, Hiroaki Kitano. 315-322 [doi]
• Extracting motion information using a biologically realistic model retinaStefan D. Wilke, Andreas Thiel, Christian W. Eurich, Martin Greschner, Markus Bongard, Josef Ammermüller, Helmut Schwegler. 323-328 [doi]
• Graph extraction from color imagesTino Lourens, Kazuhiro Nakadai, Hiroshi G. Okuno, Hiroaki Kitano. 329-334 [doi]
• Sparse Kernel Canonical Correlation AnalysisL. Tan, Colin Fyfe. 335-340 [doi]
• Learning fault-tolerance in Radial Basis Function NetworksXavier Parra, Andreu Català. 341-346 [doi]
• A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixturesCésar Hervás-Martínez, José Antonio Martinez Heras, Sebastián Ventura, Manuel Silva. 347-352 [doi]
• SOM competition for complex image scene with variant object positionsTarek El. Tobely, Yuichiro Yoshiki, Ryuichi Tsuda, Naoyuki Tsuruta, Makoto Amamiya. 353-358 [doi]
• Numerical implementation of continuous Hopfield networks for optimizationMiguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández. 359-364 [doi]
• One-to-many mappings represented on feed-forward networksRoelof K. Brouwer, Witold Pedrycz. 365-370 [doi]
• Penalized least squares, model selection, convex hull classes and neural netsGerald H. L. Cheang, Andrew R. Barron. 371-376 [doi]
• Bayesian decision theory on three layered neural networksYoshifusa Ito, Cidambi Srinivasan. 377-382 [doi]
• Estimation of Hybrid HMM/MLP modelsJoseph Rynkiewicz. 383-390 [doi]
• A divide-and-conquer learning architecture for predicting unknown motionPatrice Wira, Jean-Philippe Urban, Julien Gresser. 391-396 [doi]
• Rectified Gaussian distributions and the formation of local filters from video dataEmilio Corchado, Darryl Charles, Colin Fyfe. 397-402 [doi]
• Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agricultureElena Bellei, Diego Guidotti, Ruggero Petacchi, Leonardo Maria Reyneri, Italo Rizzi. 403-408 [doi]