Volume 51, Number 2, July 2000
|Page(s)||230 - 236|
|Section||Interdisciplinary physics and related areas of science and technology|
|Published online||01 September 2002|
Robust chaos generation by a perceptron
Minerva Center and Department of Physics,
Bar-Ilan University 52900 Ramat-Gan, Israel
Accepted: 19 May 2000
The properties of time series generated by a perceptron with monotonic and non-monotonic transfer function, where the next input vector is determined from past output values, are examined. The analysis of the parameter space reveals the following main finding: a perceptron with a monotonic function can produce fragile chaos only, whereas a non-monotonic function can generate robust chaos as well. For non-monotonic functions, the dimension of the attractor can be controlled monotonically by tuning a natural parameter in the model.
PACS: 84.35.+i – Neural networks / 05.45.-a – Nonlinear dynamics and nonlinear dynamical systems
© EDP Sciences, 2000
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.