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ORCIDESANN 1995: Brussels, Belgium
- 3rd European Symposium on Artificial Neural Networks, ESANN 1995, Brussels, Belgium, April 19-21, 1995, Proceedings. 1995
Self-organisation
- John A. Flanagan, Martin Hasler:
Self-organisation, metastable states and the ODE method in the Kohonen neural network. - Jean-Claude Fort, Gilles Pagès:
About the Kohonen algorithm: strong or weak self-organization? - Josef Göppert, Wolfgang Rosenstiel:
Topological interpolation in SOM by affine transformations. - Katarzyna Moscinska:
Dynamic Neural Clustering. - Smaïl Ibbou, Marie Cottrell:
Multiple correspondence analysis of a crosstabulations matrix using the Kohonen algorithm.
Models I
- Jean-Philippe Draye, Guy Cheron, Marc Bourgeois, Davor Pavisic, Gaetan Libert:
Identification of the human arm kinetics using dynamic recurrent neural networks. - Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski:
Simplified cascade-correlation learning. - Davor Pavisic, Laurent Blondel, Jean-Philippe Draye, Gaetan Libert, Pierre Chapelle:
Active noise control with dynamic recurrent neural networks. - M. Diepenhorst, J. A. G. Nijhuis, Lambert Spaanenburg:
Cascade learning for FIR-TDNNs.
Signal processing and chaos
- Jeroen Dehaene, Joos Vandewalle:
Adaptive signal processing with unidirectional Hebbian adaptation laws. - Christophe Couvreur:
MAP decomposition of a mixture of AR signal using multilayer perceptrons. - Koen Bertels, Luc Neuberg, Stamatis Vassiliadis, D. G. Pechanek:
XOR and backpropagation learning: in and out of the chaos? - M. R. Belli, Massimo Conti, Claudio Turchetti:
Analog Brownian weight movement for learning of artificial neural networks.
Biological models
- Florentin Wörgötter, Eckart Nelle, Bing Li, Lei Wang, Yun-Chen Diao:
Spatial summation in simple cells: computational and experimental results. - Catelijne van Oss, Arjen van Ooyen:
Activity-dependent neurite outgrowth in a simple network model including excitation and inhibition. - Stephan Joeken, Helmut Schwegler:
Predicting spike train responses of neuron models. - A. Terao, M. Akamatsu, J. Seal:
A distribution-based model of the dynamics of neural networks in the cerebral cortex. - Arthur Vermeulen, Jean-Pierre Rospars, Petr Lánský, Henry C. Tuckwell:
Some new results on the coding of pheromone intensity in an olfactory sensory neuron.
Special session on the Elena-Nerves2 ESPRIT Basic Research project
- Pierre Comon:
Invited paper: Supervised classification: a probabilistic approach. - Christian Jutten, Olivier Fambon:
Invited paper: Pruning methods: a review. - Juan Manuel Moreno, F. X. Vazquez, Francisco Castillo, Jordi Madrenas, Joan Cabestany:
A deterministic method for establishing the initial conditions in the RCE algorithm. - Olivier Fambon, Christian Jutten:
Pruning kernel density estimators. - Jean-Luc Voz, Michel Verleysen, Philippe Thissen, Jean-Didier Legat:
Suboptimal Bayesian classification by vector quantization with small clusters.
Theory of learning systems
- David Barber, David Saad:
Knowledge and generalisation in simple learning systems. - Yves Grandvalet, Stéphane Canu, Stéphane Boucheron:
Control of complexity in learning with perturbed inputs. - Ulf-Dietrich Braumann, Hans-Joachim Böhme, Horst-Michael Gross:
An episodic knowledge base for object understanding. - Melanie Hilario, Yannick Lallement, Frédéric Alexandre:
Neurosymbolic integration: unified versus hybrid approaches.
Biological vision
- Ralf Opara, Florentin Wörgötter:
Improving object recognition by using a visual latency mechanism. - Shigemichi Ohshima, Tetsuya Yagi, Yasuyuki Funahashi:
On the function of the retinal bipolar cell in early vision. - Greg Maguire:
Sustained and transient amacrine cell circuits underlying the receptive fields of ganglion cells in the vertebrate retina. - J. Köhn, Florentin Wörgötter:
Latency-reduction in antagonistic visual channels as the result of corticofugal feedback.
Models II
- Andreas Alexander Albrecht:
On threshold circuit depth. - Peter Sollich:
Minimum entropy queries for linear students learning nonlinear rules. - Marcello Pelillo, Anna Maria Fanelli:
An asymmetric associative memory model based on relaxation labeling processes. - Tatyana S. Turova:
Invariant measure for an infinite neural network. - Simon M. Lucas:
Growing adaptive neural networks with graph grammars. - Colin Campbell, Conrado J. Pérez Vicente:
Constructing feed-forward neural networks for binary classification tasks.
Classification and control
- Martin Pregenzer, Gert Pfurtscheller, Colin Andrew:
Improvement of EEG classification with a subject-specific feature selection. - Jeffrey Wood, John Shawe-Taylor:
Neural networks for invariant pattern recognition. - Josep Cugueró, Jordi Madrenas, Juan Manuel Moreno, Joan Cabestany:
Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms. - Yonghong Tan, Achiel R. Van Cauwenberghe:
Neural network based one-step ahead control and its stability. - Johan A. K. Suykens, Bart De Moor, Joos Vandewalle:
NLq theory: unifications in the theory of neural networks, systems and control.
Invited paper
- Hanspeter A. Mallot:
Learning of cognitive maps from sequences of views.
Radial-basis functions
- Colin Andrew, Miroslav Kubat, Gert Pfurtscheller:
Trimming the inputs of RBF networks. - Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Learning the appropriate representation paradigm by circular processing units. - Mark J. L. Orr:
Radial basis functions in the Fourier domain.
Function approximation
- Miran Kokol, Igor Grabec:
Function approximation by localized basis function neural network. - Jean-Gabriel Attali, Gilles Pagès:
Functional approximation by perceptrons: a new approach. - Vera Kurková:
Approximation of functions by Gaussian RBF networks with bouded number of hidden units. - Tommy W. S. Chow, Chi-Tat Leung:
Neural network piecewise linear preprocessing for time-series prediction. - Katerina Hlavácková:
An upper estimate of the error of approximation of continuous multivariable functions by KBF networks.
Multi-layer perceptrons
- John A. Drakopoulos:
Multi-sigmoidal units and neural networks. - Mohamed Karouia, Régis Lengellé, Thierry Denoeux:
Performance analysis of a MLP weight initialization algorithm. - Panagiotis K. Psomas, Gregory D. Hilakos, Costas F. Christoyannis, Nikolaos K. Uzunoglu:
Alternative output representation schemes affect learning and generalization of back-propagation ANNs; a decision support application. - Brijesh K. Verma, Jan J. Mulawka:
A new training algorithm for feedforward neural networks. - Juan-Manuel Torres-Moreno, Pierre Peretto, Mirta B. Gordon:
An evolutive architecture coupled with optimal perceptron learning for classification.
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