chairs: Guenter Palm, Germany, and Georg Dorffner, Austria
April 9-12, 1996
University of Vienna,
Vienna, Austria
For this symposium, papers on any theoretical or practical aspect of artificial neural networks are invited. Special focus, however, will be put on the issue of adaptivity both in practical engineering applications and in applications of neural networks to the modeling of human behavior. By adaptivity we mean the capability of a neural network to adjust itself to changing environments. We make a careful distinction between "learning" to devise weight matrices for a neural network before it is applied (and usually left unchanged) on one hand, and true adaptivity of a given neural network to constantly changing conditions on the other hand - i.e. incremental learning in unstationary environments. The following is a - by no means exhaustive - list of possible topics in this realm:
Papers should be sent to:
I. Ghobrial-Willmann or G. Helscher
Austrian Society for Cybernetic Studies
A-1010 Vienna 1, Schottengasse 3 (Austria)
Phone: +43-1-53532810
Fax: +43-1-5320652
E-mail: sec@ai.univie.ac.at
For more information on the whole EMCSR conference and instructions for submissions, see the EMCSR home page.