ESANN 1994: Brussels, Belgium

ESANN 1994, 2nd European Symposium on Artificial Neural Networks, Brussels, Belgium, April 20-22, 1994, Proceedings. 1994

Neural networks and chaos

Thorsten Kolb, Karsten Berns:
Concerning the formation of chaotic behaviour in recurrent neural networks.
William G. Gibson, John Robinson, Christopher M. Thomas:
Stability and bifurcation in an autoassociative memory model.

Joan Codina, Juan Carlos Aguado, Josep M. Fuertes:
Capabilities of a structured neural network. Learning and comparison with classical techniques.
Konrad Weigl, Marc Berthod:
Projection learning: alternative approaches to the computation of the projection.
Z. Mao, T. C. Hsia:
Stability bounds of momentum coefficient and learning rate in backpropagation algorithm.

Guido te Brake, Joost N. Kok, Paul M. B. Vitányi:
Model selection for neural networks: comparing MDL and NIC.
Pierre Comon, Jean-Luc Voz, Michel Verleysen:
Estimation of performance bounds in supervised classification.
Igor V. Tetko, Alexander I. Luik:
Input Parameters' estimation via neural networks.
E. Filippi, Mario Costa, Eros Pasero:
Combining multi-layer perceptrons in classification problems.

J. Iwanski, J. Schietse:
Diluted neural networks with binary couplings: a replica symmetry breaking calculation of the storage capacity.
Geert Jan Bex, Roger Serneels:
Storage capacity of the reversed wedge perceptron with binary connections.
Francisco Javier López Aligué, Miguel A. Jaramillo Morán, M. Isabel Acevedo Sotoca, Montserrat García del Valle:
A general model for higher order neurons.
Bojan Petek:
A discriminative HCNN modeling.

Gregory R. Mulhauser:
Biologically plausible hybrid network design and motor control.
W. Mommaerts, Edward C. van der Meulen, Tatyana S. Turova:
Analysis of critical effects in a stochastic neural model.
Jean-Pierre Rospars, Petr Lánský:
Stochastic model of odor intensity coding in first-order olfactory neurons.
Alexander S. Mikhailov:
Memory, learning and neuromediators.
François Chapeau-Blondeau, Nicolas Chambet:
An explicit comparison of spike dynamics and firing rate dynamics in neural network modeling.

Berthold Ruf:
A stop criterion for the Boltzmann machine learning algorithm.
Manuel Graña, Víctor Lavín Puente, Alicia D'Anjou, Francisco X. Albizuri, José Antonio Lozano:
High-order Boltzmann machines applied to the Monk's problems.
Frederic Aviolat, Eddy Mayoraz:
A constructive training algorithm for feedforward neural networks with ternary weights.
Tatyana Luzyanina:
Synchronization in a neural network of phase oscillators with time delayed coupling.

Samira Sehad, Claude F. Touzet:
Reinforcement learning and neural reinforcement learning.
Juan Manuel Moreno, F. Castillo, Joan Cabestany:
Improving piecewise linear separation incremental algorithms using complexity reduction methods.
Olivier Fambon, Christian Jutten:
A comparison of two weight pruning methods.
Claude F. Touzet:
Extending immediate reinforcement learning on neural networks to multiple actions.
Jacques Ludik, Ian Cloete:
Incremental increased complexity training.

Vera Kurková, Katerina Hlavácková-Schindler:
Approximation of continuous functions by RBF and KBF networks.
Michel Verleysen, Katerina Hlavácková-Schindler:
An optimized RBF network for approximation of functions.
Valeriu Beiu, J. A. Peperstraete, Joos Vandewalle, Rudy Lauwereins:
VLSI complexity reduction by piece-wise approximation of the sigmoid function.

Axel Röbel:
Dynamic pattern selection for faster learning and controlled generalization of neural networks.
John A. Bullinaria:
Noise reduction by multi-target learning.
Antony Browne, John R. Pilkington:
Variable binding in a neural network using a distributed representation.
Marcello Chiaberge, Juan J. Merelo Guervós, Leonardo Maria Reyneri, Alberto Prieto, L. Zocca:
A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control.
Raúl Rojas:
Visualizing the learning process for neural networks.

Yonghong Tan, Mia Loccufier, Robin De Keyser, Erik Noldus:
Stability analysis of diagonal recurrent neural networks.
Tom Heskes:
Stochastics of on-line back-propagation.
Nicolas Pican, Jean-Claude Fort, Frédéric Alexandre:
A lateral contribution learning algorithm for multi MLP architecture.

Marie Cottrell, Jean-Claude Fort, Gilles Pagès:
Two or three things that we know about the Kohonen algorithm.
M. Alvarez, A. Varfis:
Decoding functions for Kohonen maps.
Heike Speckmann, Günter Raddatz, Wolfgang Rosenstiel:
Improvement of learning results of the selforganizing map by calculating fractal dimensions.
Jean-Claude Fort, Gilles Pagès:
A non linear Kohonen algorithm.
Andreas Kanstein, Karl Goser:
Self-organizing maps based on differential equations.
Ralf Der, J. Michael Herrmann:
Instabilities in self-organized feature maps with short neighbourhood range.

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