ESANN 1993: Brussels, Belgium

ESANN 1993, 1st European Symposium on Artificial Neural Networks, Brussels, Belgium, April 7-9, 1993, Proceedings. 1993

Algorithms I

Mia Loccufier, Erik Noldus:
A modified trajectory reversing method for the stability analysis of neural network.
Bart Krekelberg, Joost N. Kok:
A lateral inhibition neural network that emulates a winner-takes-all algorithm.
Denise Gorse, Adrian J. Shepherd, John G. Taylor:
Traking global minima using a range expansion algorithm.
D. Kontoravdis, Aristidis Likas, Andreas Stafylopatis:
Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems.
Désiré Bollé, B. Vinck, A. Zagrebnov:
Paralell dynamics of extremely diluted neural networks.

Juan Manuel Moreno, F. Castillo, Joan Cabestany:
Enhanced unit training for piecewise linear seperation incremental algorithms.
Dave Cliff, Inman Harvey, Phil Husbands:
Incremental evolution of neural network architectures for adaptive behavior.
Valeriu Beiu, J. A. Peperstraete, Joos Vandewalle, Rudy Lauwereins:
Efficient decomposition of comparison and its applications.
Francisco J. Vico, Francisco Sandoval Hernández, J. Almaraz:
Modelling biological learning from its generalization capacity.
Frédéric Gruau:
A learning and pruning algorithm for genetic Boolean neural networks.

Gregory R. Mulhauser:
Population coding in a theoretical biologically plausible network.
Christian Lorenzi, Frédéric Berthommier, Nosrat Tirandaz:
Physiological modelling of cochlear nucleus responses-perception of complex sounds.
Pierre Chauvet, Gilbert A. Chauvet:
The purkinje unit of the cerebellum as a model of a stable neural network.
Frédéric Gruau:
A mental problem for the solution of the direct and inverse kinematic problem.

P. Bigot, Michel Cosnard:
Probabilistic decision trees ans multilayered perceptrons.
Wolfram Schiffmann, Merten Joost, Randolf Werner:
Comparison of optimized backpropagation algorithms.
Mirta B. Gordon, Dominique Berchier:
Minimerror: a perceptron learning rule that finds the optimal weights.
Philippe Sebire, Bernadette Dorizzi:
MLP modular networks for multi-class recognition.

Boris Breznen:
Place-to-time code transformation during saccades.
Jean-Philippe Draye, Guy Cheron, Gaetan Libert, Emile Godaux:
An efficient learning model for the neural integrator of the oculomotor system.
Jeanny Hérault, William Beaudot:
Motion processing in the retina: about a velocity matched filter.
Benoît Simon, Benoît Macq, Michel Verleysen:
Laplacian pyramid with multilayer perceptrons interpolators.
P. Clochon, R. Caterini, D. Clarencon, V. Roman:
EEG paroxystic activity detected by neural natworks after wavelet transform analysis.

Olivier Sarzeaud, Norbert Giambiasi:
An algorithm to learn sequences within the connectionist sequential machine.
Marie Cottrell, Bernard Girard, Yvonne Girard, Morgan Mangeas:
Time series and neural: a statistical method for weight elimination.
Leslie S. Smith, Kevin Swingler:
The filtered associative network.
Maryam Mokhtari:
Supervised learning and associative memory by the random neural network.

Désiré Bollé, J. Huyghebaert:
Mixture states in Potts neural networks.
Nikzad Benny Toomarian, Pierre Baldi:
Trajectory learning using hierarchy of oscillatory modules.
Jeroen Dehaene, Joos Vandewalle:
Locally implementable learning with isospectral matrix flows.
Alexander A. Frolov, Dusan Húsek:
Once more on the information capacity of the hopefield network.

Patrick Thiran:
Self-organization of a Kohonen network with quantized weights and a arbitrary one-dimensional stimuli distribution.
Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
Optimal decision surfaces in LVQ1 classiffication of patterns.
Viktor Tryba, Karl Goser:
Three algorithms for searching the minimum distance in the self-organizing maps.
Gilles Pagès:
Voronoï tesselation, space quantization algorithms and numerical integration.
A. Varfis, C. Versino:
An intuitive characterization for the reference vectors of a Kohonen map.

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