ESANN 1996 programme

Wednesday 24th April 1996

• 8H30 Registration
• 9H00 Opening session

  Session 1: Learning and generalization 1
  Chairman: H. Paugam-Moisy (E.N.S. Lyon, France)

• 9H10 "Synaptic efficiency modulations for context integration: The meta ODWE architecture"
  N. Pican
  INRIA Lorraine (France)
• 9H30 "Using a Meta Neural Network for RPROP parameter adaptation"
  C. McCormack
  University College Cork (Ireland)
• 9H50 "On unlearnable problems -or- A model for premature saturation in backpropagation learning"
  C. Goerick, W. von Seelen
  Ruhr-Universität Bochum (Germany)
• 10H10 "Regulated Activation Weights Neural Network (RAWN)"
  H.A.B. te Braake*, H.J.L. van Can*, G. van Straten**, H.B. Verbruggen*
  *Delft Univ. of Technology (The Netherlands)
  ** Wageningen Agricultural Univ. (The Netherlands)
• 10H30 "Praticing Q-learning"
  J. Bruske, I. Ahrns, G. Sommer
  Christian Albrechts Univ. of Kiel (Germany)
• 10H50 Coffee break

  Session 2: Recurrent models
  Chairman: W. Duch (Nicholas Copernicus Univ., Poland)

• 11H30 "Adaptative time constants improve the dynamic features of recurrent neural networks"
  J.-P. Draye*, D. Pavisic*, G. Cheron**, G. Libert*
  * Fac. Polyt. Mons (Belgium), **Univ. of Brussels (Belgium)
• 11H50 "An adaptive technique for pattern recognition by the random neural network"
  M. Mokhtari*,**, H. Akdag**,***
  *IUT de Reims, **Univ. Paris V, ***Univ. Paris VI (France)
• 12H10 "Negative initial weights improve learning in recurrent neural networks"
  D. Pavisic, J.-P. Draye, R. Teran, G. Calderon, G. Cheron, G. Libert
  Fac. Polyt. Mons (Belgium)
• 12H30 Lunch

  Session 3: Fuzzy neural networks
  Chairman: M. Verleysen (Univ. Cath. de Louvain, Belgium)

• 14H00 "The extraction of Sugeno fuzzy rules from neural networks"
  A.L. Cechin, U. Epperlein, W. Rosenstiel, B. Koppenhoefer
  Univ. Tübingen (Germany)
• 14H20 "Neural versus neurofuzzy systems for credit approval"
  S. Piramuthu
  Univ. of Florida (USA)
• 14H40 Invited paper:
  B. Fritzke (Ruhr-Universität Bochum, Germany)
  "Growing self-organizing networks - Why ?"
• 15H25 coffee break

  Session 4: Self-organizing maps
  Chairman: B. Fritzke (Ruhr Universität Bochum, Germany)

• 16H00 "Identification of gait patterns with self-organizing maps based on ground reaction force"
  M. Köhle, D. Merkl
  Vienna Univ. of Technology (Austria)
• 16H20 "A self-organizing map for analysis of high-dimensional feature spaces with clusters of highly differing feature density"
  S. Schünemann, B. Michaelis
  Otto-von-Guericke Univ. Magdeburg (Germany)
• 16H40 "Quantization vs Organization in the Kohonen S.O.M."
  J.-C. Fort*, G. Pagès**
  *Univ. Nancy I & Univ. Paris I (France)
  **Univ. Pierre et Marie Curie & Univ. Paris XII (France)
• 17H00 "On global self-organizing maps"
  W. Duch, A. Naud
  Nicholas Copernicus Univ. (Poland)
• 17H20 "On the critical points of the 1-dimensional competitive learning vector quantization algorithm"
  D. Lamberton*, G. Pagès**
  *Univ. Marne-la-Vallée, **Univ. Pierre et Marie Curie & Univ. Paris XII (France)
• 17H40 "A Kohonen map representation to avoid misleading interpretations"
  M. Cottrell*, E. de Bodt**
  *Univ. Paris I (France), Univ. Cat. Louvain (Belgium)

Thursday 25th April 1996

Session 5: Incremental learning
Chairman: T.W.S. Chow (City University of Hong Kong)

• 9H00 "FlexNet - A flexible neural network construction algorithm"
  K. Mohraz, P. Protzel
  FORWISS, Germany
• 9H20 "Incremental category learning in a real world artifact using growing dynamic cell structures"
  C. Scheier
  Univ. of Zurich (Switzerland)
• 9H40 "Towards constructive and destructive dynamic network configuration"
  S. Wermter, M. Meurer
  Univ. of Hamburg (Germany)
• 10H00 "Combining sigmoids and radial basis functions in evolutive neural architectures"
  R. Chentouf, C. Jutten
  I.N.P. Grenoble (France)
• 10H20 Coffee break
• 11H00 Invited paper:
  N. Franceschini (CNRS Marseilles, France)
  "Biologically inspired eye movements for visually guided navigation of mobile robots"
  F. Mura, N. Martin, N. Franceschini

  Session 6: Classification
  Chairman: J. Vandewalle (Kat. Univ. Leuven, Belgium)

• 11H45 "A novel two-layer neural network classifier"
  G. Qiu
  Univ. of Derby (United Kingdom)
• 12H05 "Representation of obstacles in a neural network based classifier system"
  N.R. Ball
  Univ. of Cambridge (United Kingdom)
• 12H25 "Investigating lexical access using neural nets"
  M. Patel
  Macquarie Univ. (Australia)
  
• 12H45 Lunch

  Session 7: Mathematical aspects of neural networks
  Chairman: J.C. Fort
  (Univ. Nancy I & Univ. Paris I, France)

• 14H00 "Rates of approximation of real-valued boolean functions by neural networks"
  K. Hlavackova, V. Kurkova
  Acad. of Sciences (Czech Republic)
• 14H20 "Bounds on the degree of high order binary perceptrons"
  E. Mayoraz
  IDIAP (Switzerland)
• 14H40 "A fast Bayesian algorithm for Boolean functions synthesis by means of perceptron networks"
  A. Catala Mallofre*, J. Aguilar-Martin*,**, B. Morcego Seix*, N. Piera i Carrete*
  *Univ. Polit. Catalunya (Spain), **LAAS-CNRS (France)
• 15H00 "Accomodating relevance in neural networks"
  H. Wang, D. Bell
  Univ. of Ulster at Jordanstown (United Kingdom)
• 15H20 Coffee break

  Session 8: Natural and artificial vision
  Chairman: N. Franceschini (CNRS Marseilles, France)

• 16H00 "Neural network for visual contrast detection"
  E. Littmann*, H. Neumann*, L. Pessoa**
  *Univ. of Ulm (Germany), **Univ. Federale Rio (Brazil)
• 16H20 "Application of high-order Boltzmann machines in OCR"
  A. de la Hera, M. Grana, A. D'Anjou, F.X. Albizuri
  UPV San Sebastian (Spain)
• 16H40 "Simulation of an inner plexiform layer neural circuit in vertebrate retina leads to sustained and transient excitation"
  G. Maguire, X. Yang
  Univ. of Texas (USA)
• 17H00 "Analysis of visual information by receptivc field dynamics"
  C. Born
  Ruhr-Univ. Bochum (Germany)
• 17H20 "Neurotransmitterdynamics in a model of a movement detecting visual system"
  H.A.K. Mastebroek
  Groningen Univ. (The Netherlands)
• 20H00 Conference dinner

Friday 26th April 1996

Session 9: Neural networks and statistics
Chairman: G. Pagès (Univ. Paris VI, France)

• 9H00 "Recurrent least square learning for quasi-parallel principal component analysis"
  W. Kasprzak, A. Cichocki
  RIKEN Frontier Research (Japan)
• 9H20 "Understanding data by neural and statistical tools"
  A. Guérin-Dugué, C. Avilez-Cruz, P.M. Palagi
  I.N.P. Grenoble (France)
• 9H40 "Error rate estimation via cross-validation and learning curve theory"
  A. Varfis, L. Corleto
  CEC Joint Research Center Ispra (Italy)
• 10H00 "Maximum covariance method for weight initialization of multilayer perceptron network"
  M. Lehtokangas*, P. Korpisaari**, K. Kaski**
  *Nokia Research Center, **Tampere Univ. of Tech. (Finland)
• 10H20 Coffee break
• 11H00 Invited paper
  J. Karhunen (Helsinki Univ. of Technology, Finland)
  "Neural approaches to independent component analysis and source separation"

  Session 10: Learning and generalization 2
  Chairman: E. Mayoraz (IDIAP Martigny, Switzerland)

• 11H40 "Constraining of weights using regularities"
  J.N. Kok*, E. Marchiori*,**, M. Marchiori***, C. Rossi****
  *Univ. of Leiden (The Netherlands), **CWI (The Netherlands), ***Univ. of Padova (Italy), ****Univ. of Venezia (Italy)
• 12H00 "Regularization and neural computation: application to aerial images analysis"
  E. Schaeffer, P. Bourret, S. Montrozier
  ONERA-CERT (France)
• 12H20 Lunch

  Session 10: Learning and generalization 2 (continued)
  Chairman: E. Mayoraz (IDIAP Martigny, Switzerland)

• 14H00 "An algorithm for training multilayer networks on non-numerical data"
  W. Kowalczyk
  Vrije Univ. Amsterdam (The Netherlands)
• 14H20 "A correlation-based network for real-time processing"
  J. Ngole
  Uppsala Univ. (Sweden)
• 14H40 "Evolving neural network learning behaviours with set-based chromosomes"
  S.M. Lucas
  Univ. of Essex (United Kingdom)
• 15H00 coffee break

  Session 11: Prediction
  Chairman: M. Cottrell (Univ. Paris I, France)

• 15H30 "Neural network application: rainfall forecasting system in Hong Kong"
  T.W.S. Chow, S. Cho
  City Univ. of Hong-Kong
• 15H50 "Prediction of dynamical systems with composition networks"
  Y. Moreau, J. Vandewalle
  Kat. Univ. Leuven (Belgium)
• 16H10 "Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings"
  R. Dogaru, A.T. Murgan, C. Comaniciu
  Polyt. Univ. of Bucharest (Romania)
• 16H30 "An analysis of the metric structure of the weight space of feedforward networks and its application to time series modeling and prediction"
  A. Ossen, S.M. Rüger
  Tech. Univ. Berlin (Germany)
• 16H50 "Time series prediction using neural networks and its application to artificial human walking"
  R.S. Venema, A. Ypma, J.A.G. Nijhuis, L. Spaanenburg
  Rijksuniv. Groningen (The Netherlands)