ESANN 1998: Bruges, Belgium

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 Lim, 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