The European Symposium on Artificial Neural Networks 1998 (original) (raw)

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ESANN 1998: Bruges, Belgium

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  • Special session: Radial basis networks
  • Special session: Neural networks for control
  • Models and architectures
  • Special session: ANN for speech processing
  • Special session: Cellular neural networks
  • Learning and models
  • Optimization and associative networks

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• 
  6th European Symposium on Artificial Neural Networks, ESANN 1998, Bruges, Belgium, April 22-24, 1998, Proceedings. 1998

Special session: Radial basis networks

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  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
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  Shengqing Wu, Christian Van den Broeck:
  A supervised radial basis function neural network. 7-12
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  Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyneri:
  A comparison between weighted radial basis functions and wavelet networks. 13-20
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  Anna Esposito, Maria Marinaro, Silvia Scarpetta:
  An incremental local radial basis function network. 21-26
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  Cecilio Angulo, Andreu Català:
  A Tikhonov approach to calculate regularisation matrices. 27-32

Models and architectures

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  Tetsuya Takahashi:
  Analyses on the temporal patterns of spikes of auditory neurons by a neural network and tree-based models. 33-38
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  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
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  Zhijun Yang, Felipe Maia Galvão França:
  Generating arbitrary rhythmic patterns with purely inhibitory neural networks. 53-58

Special session: Neural networks for control

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  Paul J. Werbos:
  Brain-like intelligent control: from neural nets to larger-scale systems. 59-66
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  Jean-Philippe Draye, Laurent Blondel, Guy Cheron:
  Control of a subsonic electropneumatic acoustic generator with dynamic recurrent neural networks. 67-72
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  Gianluca Bontempi, Mauro Birattari, Hugues Bersini:
  Lazy learning for control design. 73-78
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  Marco Baglietto, Thomas Parisini, Riccardo Zoppoli:
  Neural networks for the solution of information-distributed optimal control problems. 79-84
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  Theo J. A. de Vries, Lars J. Idema, Wubbe J. R. Velthuis:
  Parsimonious learning feed-forward control. 85-90
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  Andreas Schierwagen, Herrad Werner:
  Fast orienting movements to visual targets: neural field model of dynamic gaze control. 91-98
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  Johan A. K. Suykens, Joos Vandewalle:
  Improved generalization ability of neurocontrollers by imposing NLq stability constraints. 99-104
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  Thorsten Kolb, Winfried Ilg, Jörg Wille:
  A RNN based control architecture for generating periodic action sequences. 105-110

Learning I

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  Michel Crucianu, Crucianu Uhry, Jean Pierre Asselin de Beauville, Romuald Boné:
  NAR time-series prediction: a Bayesian framework and an experiment. 111-116
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  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
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  Mercedes Fernández, Carlos Hernández-Espinosa:
  One or two hidden layers perceptrons. 129-134
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  Mercedes Fernández, Carlos Hernández-Espinosa:
  On the error function of interval arithmetic backpropagation. 135-140
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  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

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  Jianfeng Feng, David Brown:
  What is observable in a class of neurodynamics? 149-154
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  Amir Karniel, Ron Meir, Gideon F. Inbar:
  Polyhedral mixture of linear experts for many-to-one mapping inversion. 155-160
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  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

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  Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimmo Kaski:
  Recurrent SOM with local linear models in time series prediction. 167-172
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  Ali A. Sadeghi:
  Self-organization and convergence of the one-dimensional Kohonen algorithm. 173-178
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  Andreas Rauber, Dieter Merkl:
  Finding structure in text archives. 179-184
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  Samuel Kaski, Janne Nikkilä, Teuvo Kohonen:
  Methods for interpreting a self-organized map in data analysis. 185-190
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  Thomas Villmann, J. Michael Herrmann:
  Magnification control in neural maps. 191-196
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  Erzsébet Merényi:
  Self-organizing ANNs for planetary surface composition research. 197-202
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  Sergio Bermejo, Joan Cabestany, Magdalena Payeras-Capellà:
  A new dynamic LVQ-based classifier and its application to handwritten character recognition. 203-208
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  John A. Flanagan:
  The self-organising map, robustness, self-organising criticality and power law. 209-214
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  Stephen McGlinchey, Colin Fyfe:
  Invariant feature maps for analysis of orientations in image data. 215-220
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  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

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  Christian Wellekens:
  Introduction to speech recognition using neural networks. 227-236
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  Mikko Kurimo:
  Self-organization in mixture densities of HMM based speech recognition. 227-236
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  Daniel Willett, Gerhard Rigoll:
  Speech recognition with a new hybrid architecture combining neural networks and continuous HMM. 243-248
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  Jürgen Fritsch, Alex Waibel:
  Hierarchies of neural networks for connectionist speech recognition. 249-254

Learning II

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  Barbara Hammer:
  Training a sigmoidal network is difficult. 255-260
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  Peter J. Edwards, Alan F. Murray:
  Weight saliency regularization in augmented networks. 261-266
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  Domenico Perrotta:
  To stop learning using the evidence. 267-272
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  Andreas Poncet, Armin Deiss, Schmuel Holles:
  Selecting among candidate basis functions by crosscorrelations. 273-278
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  Philippe Thomas, Gérard Bloch, Claude Humbert:
  A multistage on-line learning rule for multilayer neural network. 279-284
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  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

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  Tamás Roska:
  The CNN computer - a tutorial. 291-296
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  Bahram Mirzai, Drahoslav Lím, George S. Moschyts:
  On the robust design of uncoupled CNNs. 297-302
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  Yves Moreau, Joos Vandewalle:
  To stop learning using the evidence. 303-308
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  Paolo Arena, Luigi Fortuna:
  Cellular neural networks: from chaos generation to compexity modelling. 309-314
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  Igor N. Aizenberg, Naum N. Aizenberg, Eugene S. Gotko, Joos Vandewalle:
  Ultrasound medical image processing using cellular neural networks. 315-320

Statistical methods

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  Carlos García Puntonet, Manuel Rodríguez Álvarez, Alberto Prieto, Beatriz Prieto:
  Separation of sources in a class of post-nonlinear mixtures. 321-326
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  Shahram Hosseini, Christian Jutten:
  Improving neural network estimation in presence of non i.i.d. noise. 327-332

Learning and models

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  Michael W. Spratling, Gillian Hayes:
  A self-organising neural network for modelling cortical development. 333-338
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  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
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  G. Rotundo, Brunello Tirozzi, M. Valente:
  Neural networks for financial forecast. 351-356
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  Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyneri, Angelo M. Sabatini:
  A neural approach to a sensor fusion problem. 357-362
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  Pei Ling Lai, Colin Fyfe:
  Canonical correlation analysis using artificial neural networks. 363-368

Special session: ANN for the processing of facial information

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  Bogdan Raducanu, Manuel Graña, Alicia D'Anjou, F. Xabier Albizuri:
  ANN for facial information processing: a review of recent approaches. 369-376
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  Alexandrina Rogozan, Paul Deléglise:
  Hybrid Hidden Markow model / neural network models for speechreading. 377-382
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  E. Drege, Fan Yang, Michel Paindavoine, Hervé Abdi:
  Face recognition: pre-processing techniques for linear autoassociators. 383-388
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  Srinivas Gutta, Harry Wechsler:
  Facial image retrieval using sequential classifiers. 389-394
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  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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