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ESANN 1998: Bruges, Belgium
- 6th European Symposium on Artificial Neural Networks, ESANN 1998, 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
- Tetsuya Takahashi:
Analyses on the temporal patterns of spikes of auditory neurons by a neural network and tree-based models. 33-38 - Jianfeng Feng, Brunello Tirozzi, David Brown:
Output jitter diverges to infinity, converges to zero or remains constant. 39-48 - Christophe P. Bernard, Stéphane Mallat, Jean-Jacques E. Slotine:
Wavelet interpolation networks. 49-52 - Zhijun Yang, Felipe Maia Galvão França:
Generating arbitrary rhythmic patterns with purely inhibitory neural networks. 53-58
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
- Michel Crucianu, Crucianu Uhry, Jean Pierre Asselin de Beauville, Romuald Boné:
NAR time-series prediction: a Bayesian framework and an experiment. 111-116 - Kristina Schädler, Fritz Wysotzki:
Application of a neural net in classification and knowledge discovery. 117-122 - Grzegorz Piotr Klebus:
Extending the CMAC model: adaptive input quantization. 123-128 - Mercedes Fernández, Carlos Hernández-Espinosa:
One or two hidden layers perceptrons. 129-134 - Mercedes Fernández, Carlos Hernández-Espinosa:
On the error function of interval arithmetic backpropagation. 135-140 - Luciano Boquete, Rafael Barea, Manuel Mazo, I. Aranda:
A neural network for the identification of the dynamic behaviour of a wheelchair. 141-148
Models and architectures
- Jianfeng Feng, David Brown:
What is observable in a class of neurodynamics? 149-154 - Amir Karniel, Ron Meir, Gideon F. Inbar:
Polyhedral mixture of linear experts for many-to-one mapping inversion. 155-160 - Andrzej Krawiecki, Robert A. Kosinski:
On-off intermittency in small neural networks with synaptic noise. 161-166
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
- Barbara Hammer:
Training a sigmoidal network is difficult. 255-260 - Peter J. Edwards, Alan F. Murray:
Weight saliency regularization in augmented networks. 261-266 - Domenico Perrotta:
To stop learning using the evidence. 267-272 - Andreas Poncet, Armin Deiss, Schmuel Holles:
Selecting among candidate basis functions by crosscorrelations. 273-278 - Philippe Thomas, Gérard Bloch, Claude Humbert:
A multistage on-line learning rule for multilayer neural network. 279-284 - Angelo Alessandri, Manfredi Maggiore, Marcello Sanguineti:
Parameter-estimation-based learning for feedforward neural networks: convergence and robustness analysis. 285-290
Special session: Cellular neural networks
- Tamás Roska:
The CNN computer - a tutorial. 291-296 - Bahram Mirzai, Drahoslav Lím, George S. Moschyts:
On the robust design of uncoupled CNNs. 297-302 - Yves Moreau, Joos Vandewalle:
To stop learning using the evidence. 303-308 - Paolo Arena, Luigi Fortuna:
Cellular neural networks: from chaos generation to compexity modelling. 309-314 - Igor N. Aizenberg, Naum N. Aizenberg, Eugene S. Gotko, Joos Vandewalle:
Ultrasound medical image processing using cellular neural networks. 315-320
Statistical methods
- Carlos García Puntonet, Manuel Rodríguez Álvarez, Alberto Prieto, Beatriz Prieto:
Separation of sources in a class of post-nonlinear mixtures. 321-326 - Shahram Hosseini, Christian Jutten:
Improving neural network estimation in presence of non i.i.d. noise. 327-332
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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