International Workshop on
Advanced Black-Box Techniques for Nonlinear
Modeling: Theory and Applications
with Time-Series Prediction
Competition
Date: July 8-10, 1998
Place: Katholieke Universiteit Leuven, Belgium
Info: http://www.esat.kuleuven.ac.be/sista/workshop/
Organized at the Department of Electrical
Engineering (ESAT/SISTA) and the
Interdisciplinary Center for Neural Networks (ICNN), in the framework of the
European Commission's project KIT,
the Belgian Interuniversity
Attraction Pole IUAP P4/02 and
the Scientific Research Network FWO Flanders on advanced numerical
methods for mathematical modelling.
In cooperation with the IEEE Circuits and Systems society.
General Scope
The rapid growth of the field of neural networks, fuzzy systems
and wavelets is offering a variety of new techniques for modeling
of nonlinear systems in the broad sense. These topics have been
investigated from differents points of view including statistics,
identification and control theory, approximation theory, signal
processing, nonlinear dynamics, information theory, physics and
optimization theory among others. The aim of this workshop is to serve
as an interdisciplinary forum for bringing together specialists in these
research disciplines. Issues related to the fundamental theory as well
as real-life applications are addressed at the workshop.
Venue
Arenberg castle,
located next to the electrical engineering department (ESAT) of
the K.U. Leuven.
Invited Speakers
- L. Feldkamp (Ford Research, USA)
``Enhanced multi-stream Kalman filter training for recurrent networks''
- C. Micchelli (IBM T.J. Watson, USA)
``Parametric density estimation for the
classification of acoustic feature vectors in speech recognition''
- U. Parlitz (Gottingen, Germany)
``Nonlinear time-series analysis''
- J. Sjöberg (Goeteborg, Sweden)
``Neural nets and related model structures for nonlinear system identification''
- S. Tan (Beijing, China) and Y. Yu (Signapore)
``Wavelet based modeling of nonlinear systems''
- V. Vapnik (AT&T Labs-Research, USA)
``Statistical learning theory'' and
``The support vector method of function estimation''
- M. Vidyasagar (Bangalore, India)
``Statistical learning in control and matrix theory''
- V. Wertz (Louvain-la-Neuve, Belgium)
``Nonlinear identification based on fuzzy models''
Book with invited talks and results of the time-series competition:
J.A.K. Suykens and J. Vandewalle (Eds.)
Nonlinear Modeling: advanced black-box techniques,
Kluwer Academic Publishers Boston, June 1998 (ISBN 0-7923-8195-5).
Topics include but are not limited
to:
| Nonlinear system identification |
Backpropagation |
| Time series analysis |
Learning and nonlinear optimization |
| Multilayer perceptrons | Recursive algorithms |
| Radial basis function networks |
Extended Kalman filtering |
| Fuzzy modelling | Embedding dimension |
| Wavelets | Subspace methods |
| Piecewise linear models | Identifiability |
| Mixture of experts | Model selection and validation |
| Universal approximation | Simulated annealing |
| Recurrent networks | Genetic algorithms |
| Regularization | Forecasting |
| Bayesian estimation | Frequency domain identification |
| Density estimation | Classification |
| Information geometry | Real-life applications |
| Generalization | Software |
Program
Postscript file of the final program.
Travel Information
Important Dates
| Deadline paper submission: | April 2, 1998 |
| Notification of acceptance: | May 4, 1998 |
| Deadline for registration: | June 19, 1998 |
| Workshop: | July 8-10, 1998 |
| Deadline data submission for Time-Series competition: March 20,
1998 |
Chairman
Johan Suykens
Katholieke Universiteit Leuven
Departement Elektrotechniek - ESAT/SISTA
Kardinaal Mercierlaan 94
B-3001 Leuven (Heverlee), Belgium
Tel: +32-16-32 18 02
Fax: +32-16-32 19 70
Email: Johan.Suykens@esat.kuleuven.ac.be
Program Committee
B. De Moor, E. Deprettere, D. Roose, J. Schoukens, S. Tan, J. Vandewalle,
V. Wertz, Y. Yu
This page is maintained by Johan Suykens
(Johan.Suykens@esat.kuleuven.ac.be),
and is last modified on June 12, 1998.