Table of Contents

• Improving piecewise linear separation incremental algorithms using complexity reduction methodsJuan Manuel Moreno, F. Castillo, Joan Cabestany. [doi]
• Stochastics of on-line back-propagationTom Heskes. [doi]
• Estimation of performance bounds in supervised classificationPierre Comon, Jean-Luc Voz, Michel Verleysen. [doi]
• Projection learning: alternative approaches to the computation of the projectionKonrad Weigl, Marc Berthod. [doi]
• Decoding functions for Kohonen mapsM. Alvarez, A. Varfis. [doi]
• Visualizing the learning process for neural networksRaúl Rojas. [doi]
• Diluted neural networks with binary couplings: a replica symmetry breaking calculation of the storage capacityJ. Iwanski, J. Schietse. [doi]
• A discriminative HCNN modelingBojan Petek. [doi]
• Stability and bifurcation in an autoassociative memory modelWilliam G. Gibson, John Robinson, Christopher M. Thomas. [doi]
• Incremental increased complexity trainingJacques Ludik, Ian Cloete. [doi]
• Model selection for neural networks: comparing MDL and NICGuido te Brake, Joost N. Kok, Paul M. B. Vitányi. [doi]
• Two or three things that we know about the Kohonen algorithmMarie Cottrell, Jean-Claude Fort, Gilles Pagès. [doi]
• Variable binding in a neural network using a distributed representationAntony Browne, John R. Pilkington. [doi]
• A lateral contribution learning algorithm for multi MLP architectureNicolas Pican, Jean-Claude Fort, Frédéric Alexandre. [doi]
• A general model for higher order neuronsFrancisco Javier López Aligué, Miguel A. Jaramillo Morán, M. Isabel Acevedo Sotoca, Montserrat García del Valle. [doi]
• Stochastic model of odor intensity coding in first-order olfactory neuronsJean-Pierre Rospars, Petr Lánský. [doi]
• Synchronization in a neural network of phase oscillators with time delayed couplingTatyana Luzyanina. [doi]
• Extending immediate reinforcement learning on neural networks to multiple actionsClaude F. Touzet. [doi]
• Input Parameters' estimation via neural networksIgor V. Tetko, Alexander I. Luik. [doi]
• Improvement of learning results of the selforganizing map by calculating fractal dimensionsHeike Speckmann, Günter Raddatz, Wolfgang Rosenstiel. [doi]
• High-order Boltzmann machines applied to the Monk's problemsManuel Graña, Víctor Lavín Puente, Alicia D'Anjou, Francisco X. Albizuri, José Antonio Lozano. [doi]
• A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time controlMarcello Chiaberge, Juan J. Merelo Guervós, Leonardo Maria Reyneri, Alberto Prieto, L. Zocca. [doi]
• A constructive training algorithm for feedforward neural networks with ternary weightsFrederic Aviolat, Eddy Mayoraz. [doi]
• Biologically plausible hybrid network design and motor controlGregory R. Mulhauser. [doi]
• A non linear Kohonen algorithmJean-Claude Fort, Gilles Pagès. [doi]
• Stability bounds of momentum coefficient and learning rate in backpropagation algorithmZ. Mao, T. C. Hsia. [doi]
• An explicit comparison of spike dynamics and firing rate dynamics in neural network modelingFrançois Chapeau-Blondeau, Nicolas Chambet. [doi]
• Approximation of continuous functions by RBF and KBF networksVera Kurková, Katerina Hlavácková-Schindler. [doi]
• Memory, learning and neuromediatorsAlexander S. Mikhailov. [doi]
• Self-organizing maps based on differential equationsAndreas Kanstein, Karl Goser. [doi]
• Stability analysis of diagonal recurrent neural networksYonghong Tan, Mia Loccufier, Robin De Keyser, Erik Noldus. [doi]
• Instabilities in self-organized feature maps with short neighbourhood rangeRalf Der, J. Michael Herrmann. [doi]
• A stop criterion for the Boltzmann machine learning algorithmBerthold Ruf. [doi]
• Noise reduction by multi-target learningJohn A. Bullinaria. [doi]
• Analysis of critical effects in a stochastic neural modelW. Mommaerts, Edward C. van der Meulen, Tatyana S. Turova. [doi]
• Capabilities of a structured neural network. Learning and comparison with classical techniquesJoan Codina, Juan Carlos Aguado, Josep M. Fuertes. [doi]
• Dynamic pattern selection for faster learning and controlled generalization of neural networksAxel Röbel. [doi]
• A comparison of two weight pruning methodsOlivier Fambon, Christian Jutten. [doi]
• Combining multi-layer perceptrons in classification problemsE. Filippi, Mario Costa, Eros Pasero. [doi]
• Storage capacity of the reversed wedge perceptron with binary connectionsGeert Jan Bex, Roger Serneels. [doi]
• Concerning the formation of chaotic behaviour in recurrent neural networksThorsten Kolb, Karsten Berns. [doi]
• VLSI complexity reduction by piece-wise approximation of the sigmoid functionValeriu Beiu, J. A. Peperstraete, Joos Vandewalle, Rudy Lauwereins. [doi]
• An optimized RBF network for approximation of functionsMichel Verleysen, Katerina Hlavácková-Schindler. [doi]
• Reinforcement learning and neural reinforcement learningSamira Sehad, Claude F. Touzet. [doi]