Brussels, Belgium, April 7-8-9
Content of the proceedings
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Algorithms I
Evolutive architectures
Biology and motor control
Perceptrons and applications
Vision and signal processing
Temporal processing
Algorithms II
Vector quantization and auto-organization
Algorithms I
ES1993-500
A modified trajectory reversing method for the stability analysis of neural network
M. Loccufier, E. Noldus
A modified trajectory reversing method for the stability analysis of neural network
M. Loccufier, E. Noldus
ES1993-501
A lateral inhibition neural network that emulates a winner-takes-all algorithm
B. Krekelberg, J.N. Kok
A lateral inhibition neural network that emulates a winner-takes-all algorithm
B. Krekelberg, J.N. Kok
ES1993-502
Traking global minima using a range expansion algorithm
D. Gorse, A. Shepherd, J.G. Taylor
Traking global minima using a range expansion algorithm
D. Gorse, A. Shepherd, J.G. Taylor
ES1993-503
Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems
D. Kontoravdis, A. Linkas, A. Stafylopatis
Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems
D. Kontoravdis, A. Linkas, A. Stafylopatis
ES1993-504
Paralell dynamics of extremely diluted neural networks
D. Bollé, B. Vinck, A. Zagrebnov
Paralell dynamics of extremely diluted neural networks
D. Bollé, B. Vinck, A. Zagrebnov
Abstract:
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Evolutive architectures
ES1993-505
Enhanced unit training for piecewise linear seperation incremental algorithms
J.M. Moreno, F. Castillo, J. Cabestany
Enhanced unit training for piecewise linear seperation incremental algorithms
J.M. Moreno, F. Castillo, J. Cabestany
ES1993-506
Incremental evolution of neural network architectures for adaptive behavior
D. Cliff, I. Harvey, P. Husbands
Incremental evolution of neural network architectures for adaptive behavior
D. Cliff, I. Harvey, P. Husbands
ES1993-507
Efficient decomposition of comparison and its applications
V. Beiu, J. Peperstraete, J. Vandewalle, R.Lauwereins
Efficient decomposition of comparison and its applications
V. Beiu, J. Peperstraete, J. Vandewalle, R.Lauwereins
ES1993-508
Modelling biological learning from its generalization capacity
F.J. Vico, F. Sandoval, J. Almaraz
Modelling biological learning from its generalization capacity
F.J. Vico, F. Sandoval, J. Almaraz
ES1993-509
A learning and pruning algorithm for genetic Boolean neural networks
F. Gruau
A learning and pruning algorithm for genetic Boolean neural networks
F. Gruau
Abstract:
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Biology and motor control
ES1993-510
Population coding in a theoretical biologically plausible network
G.R. Mulhauser
Population coding in a theoretical biologically plausible network
G.R. Mulhauser
ES1993-511
Physiological modelling of cochlear nucleus responses-perception of complex sounds
C. Lorenzi, F. Berthommier, N. Tirandaz
Physiological modelling of cochlear nucleus responses-perception of complex sounds
C. Lorenzi, F. Berthommier, N. Tirandaz
ES1993-512
The purkinje unit of the cerebellum as a model of a stable neural network
P. Chauvet, G. Chauvet
The purkinje unit of the cerebellum as a model of a stable neural network
P. Chauvet, G. Chauvet
ES1993-513
A mental problem for the solution of the direct and inverse kinematic problem
F. Gruau
A mental problem for the solution of the direct and inverse kinematic problem
F. Gruau
Abstract:
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Perceptrons and applications
ES1993-514
Probabilistic decision trees ans multilayered perceptrons
P. Bigot, M. Cosnard
Probabilistic decision trees ans multilayered perceptrons
P. Bigot, M. Cosnard
ES1993-515
Comparison of optimized backpropagation algorithms
W. Schiffmann, M. Joost, R. Werner
Comparison of optimized backpropagation algorithms
W. Schiffmann, M. Joost, R. Werner
ES1993-516
Minimerror: a perceptron learning rule that finds the optimal weights
M.B. Gordon, D. Berchier
Minimerror: a perceptron learning rule that finds the optimal weights
M.B. Gordon, D. Berchier
ES1993-517
MLP modular networks for multi-class recognition
P. Sebire, B. Dorizzi
MLP modular networks for multi-class recognition
P. Sebire, B. Dorizzi
Abstract:
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Vision and signal processing
ES1993-518
Place-to-time code transformation during saccades
B. Breznen
Place-to-time code transformation during saccades
B. Breznen
ES1993-519
An efficient learning model for the neural integrator of the oculomotor system
J.P. Draye, G. Cheron, G. Libert, E. Godaux
An efficient learning model for the neural integrator of the oculomotor system
J.P. Draye, G. Cheron, G. Libert, E. Godaux
ES1993-520
Motion processing in the retina: about a velocity matched filter
J. Hérault, W. Beaudot
Motion processing in the retina: about a velocity matched filter
J. Hérault, W. Beaudot
ES1993-521
Laplacian pyramid with multilayer perceptrons interpolators
B. Simon, B. Macq, M. Verleysen
Laplacian pyramid with multilayer perceptrons interpolators
B. Simon, B. Macq, M. Verleysen
ES1993-522
EEG paroxystic activity detected by neural natworks after wavelet transform analysis
P. Clochon, R. Caterini, D. Clarencon, V. Roman
EEG paroxystic activity detected by neural natworks after wavelet transform analysis
P. Clochon, R. Caterini, D. Clarencon, V. Roman
Abstract:
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Temporal processing
ES1993-523
An algorithm to learn sequences within the connectionist sequential machine
O. Sarzeaud, N. Giambiasi
An algorithm to learn sequences within the connectionist sequential machine
O. Sarzeaud, N. Giambiasi
ES1993-524
Time series and neural: a statistical method for weight elimination
M. Cottrell, B. Girard, Y. Girard, M. Mangeas
Time series and neural: a statistical method for weight elimination
M. Cottrell, B. Girard, Y. Girard, M. Mangeas
ES1993-525
The filtered associative network
L.S. Smith, K. Swingler
The filtered associative network
L.S. Smith, K. Swingler
ES1993-526
Supervised learning and associative memory by the random neural network
M. Mokhtari
Supervised learning and associative memory by the random neural network
M. Mokhtari
Abstract:
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Algorithms II
ES1993-527
Mixture states in Potts neural networks
D. Bollé, J. Huyghebaert
Mixture states in Potts neural networks
D. Bollé, J. Huyghebaert
ES1993-528
Trajectory learning using hierarchy of oscillatory modules
N.B. Toomarian, P. Baldi
Trajectory learning using hierarchy of oscillatory modules
N.B. Toomarian, P. Baldi
ES1993-529
Locally implementable learning with isospectral matrix flows
J. Dehaene, J. Vandewalle
Locally implementable learning with isospectral matrix flows
J. Dehaene, J. Vandewalle
ES1993-530
Once more on the information capacity of the hopefield network
A.A. Frolov, D. Husek
Once more on the information capacity of the hopefield network
A.A. Frolov, D. Husek
Abstract:
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Vector quantization and auto-organization
ES1993-531
Self-organization of a Kohonen network with quantized weights and a arbitrary one-dimensional stimuli distribution
P. Thiran
Self-organization of a Kohonen network with quantized weights and a arbitrary one-dimensional stimuli distribution
P. Thiran
ES1993-532
Optimal decision surfaces in LVQ1 classiffication of patterns
M. Verleysen, P. Thissen, J.D. Legat
Optimal decision surfaces in LVQ1 classiffication of patterns
M. Verleysen, P. Thissen, J.D. Legat
ES1993-533
Three algorithms for searching the minimum distance in the self-organizing maps
V. Trybe, K. Goser
Three algorithms for searching the minimum distance in the self-organizing maps
V. Trybe, K. Goser
ES1993-534
Voronoï tesselation, space quantization algorithms and numerical integration
G. Pagès
Voronoï tesselation, space quantization algorithms and numerical integration
G. Pagès
ES1993-535
An intuitive characterization for the reference vectors of a Kohonen map
A. Varfis, C. Versino
An intuitive characterization for the reference vectors of a Kohonen map
A. Varfis, C. Versino
Abstract:
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