ESANN 1998:
Bruges,
Belgium
ESANN 1998, 6th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 22-24, 1998, Proceedings.
1998 
Special session:
Radial basis networks
- Ignacio Rojas Ruiz, Mancia Anguita, Eduardo Ros Vidal, Héctor Pomares, Olga Valenzuela, Alberto Prieto:
What are the main factors involved in the design of a Radial Basis Function Network?
1-6
- Shengqing Wu, Christian Van den Broeck:
A supervised radial basis function neural network.
7-12
- Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyneri:
A comparison between weighted radial basis functions and wavelet networks.
13-20
- Anna Esposito, Maria Marinaro, Silvia Scarpetta:
An incremental local radial basis function network.
21-26
- Cecilio Angulo, Andreu Català:
A Tikhonov approach to calculate regularisation matrices.
27-32
Models and architectures
Special session:
Neural networks for control
- Paul J. Werbos:
Brain-like intelligent control: from neural nets to larger-scale systems.
59-66
- Jean-Philippe Draye, Laurent Blondel, Guy Cheron:
Control of a subsonic electropneumatic acoustic generator with dynamic recurrent neural networks.
67-72
- Gianluca Bontempi, Mauro Birattari, Hugues Bersini:
Lazy learning for control design.
73-78
- Marco Baglietto, Thomas Parisini, Riccardo Zoppoli:
Neural networks for the solution of information-distributed optimal control problems.
79-84
- Theo J. A. de Vries, Lars J. Idema, Wubbe J. R. Velthuis:
Parsimonious learning feed-forward control.
85-90
- Andreas Schierwagen, Herrad Werner:
Fast orienting movements to visual targets: neural field model of dynamic gaze control.
91-98
- Johan A. K. Suykens, Joos Vandewalle:
Improved generalization ability of neurocontrollers by imposing NLq stability constraints.
99-104
- Thorsten Kolb, Winfried Ilg, Jörg Wille:
A RNN based control architecture for generating periodic action sequences.
105-110
Learning I
Models and architectures
Special session:
Self-organising maps for data analysis
- Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimmo Kaski:
Recurrent SOM with local linear models in time series prediction.
167-172
- Ali A. Sadeghi:
Self-organization and convergence of the one-dimensional Kohonen algorithm.
173-178
- Andreas Rauber, Dieter Merkl:
Finding structure in text archives.
179-184
- Samuel Kaski, Janne Nikkilä, Teuvo Kohonen:
Methods for interpreting a self-organized map in data analysis.
185-190
- Thomas Villmann, J. Michael Herrmann:
Magnification control in neural maps.
191-196
- Erzsébet Merényi:
Self-organizing ANNs for planetary surface composition research.
197-202
- Sergio Bermejo, Joan Cabestany, Magdalena Payeras-Capellà:
A new dynamic LVQ-based classifier and its application to handwritten character recognition.
203-208
- John A. Flanagan:
The self-organising map, robustness, self-organising criticality and power law.
209-214
- Stephen McGlinchey, Colin Fyfe:
Invariant feature maps for analysis of orientations in image data.
215-220
- Amaury Lendasse, Michel Verleysen, Eric de Bodt, Marie Cottrell, Philippe Grégoire:
Forecasting time-series by Kohonen classification.
221-226
Special session:
ANN for speech processing
- Christian Wellekens:
Introduction to speech recognition using neural networks.
227-236
- Mikko Kurimo:
Self-organization in mixture densities of HMM based speech recognition.
227-236
- Daniel Willett, Gerhard Rigoll:
Speech recognition with a new hybrid architecture combining neural networks and continuous HMM.
243-248
- Jürgen Fritsch, Alex Waibel:
Hierarchies of neural networks for connectionist speech recognition.
249-254
Learning II
Special session:
Cellular neural networks
Statistical methods
Learning and models
- Michael W. Spratling, Gillian Hayes:
A self-organising neural network for modelling cortical development.
333-338
- Michael W. Spratling, Gillian Hayes:
Learning sensory-motor cortical mappings without training.
339-344
- Torsten Seiler, Volker Stephan, Horst-Michael Gross:
Perception and action selection by anticipation of sensorimotor consequences.
345-350
- G. Rotundo, Brunello Tirozzi, M. Valente:
Neural networks for financial forecast.
351-356
- Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyneri, Angelo M. Sabatini:
A neural approach to a sensor fusion problem.
357-362
- Pei Ling Lai, Colin Fyfe:
Canonical correlation analysis using artificial neural networks.
363-368
Special session:
ANN for the processing of facial information
- Bogdan Raducanu, Manuel Graña, Alicia D'Anjou, F. Xabier Albizuri:
ANN for facial information processing: a review of recent approaches.
369-376
- Alexandrina Rogozan, Paul Deléglise:
Hybrid Hidden Markow model / neural network models for speechreading.
377-382
- E. Drege, Fan Yang, Michel Paindavoine, Hervé Abdi:
Face recognition: pre-processing techniques for linear autoassociators.
383-388
- Srinivas Gutta, Harry Wechsler:
Facial image retrieval using sequential classifiers.
389-394
- Souichi Oka, Miki Kitabata, Yoshiaki Ajioka, Yoshiyasu Takefuji:
Grouping complex face parts by nonlinear oscillations.
395-400
Optimization and associative networks
- Fatine Maghrebi:
On a Hopfield net arising in the modelling and control of over-saturated signalized intersections.
401-406
- E. Mulder, H. A. K. Mastebroeck:
Construction of an interactive and competitive artificial neural network for the solution of path planning problems.
407-412
- Jörg A. Walter:
Learning associative mappings from few examples.
413-418
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