Neural network chaos analysis

The analysis of a chaos theory, in general, and a neural network chaos paradigm with a concrete interpretation by a simple neural network, in particular, allowed us to set up a new aspect in an articial neuronal approach of methodology: an analogy between natural chaos experimentally observed in ne...

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Bibliographic Details
Main Author: A. Garliauskas
Format: Article
Language:English
Published: Vilnius University Press 1998-12-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.journals.vu.lt/nonlinear-analysis/article/view/15256
Description
Summary:The analysis of a chaos theory, in general, and a neural network chaos paradigm with a concrete interpretation by a simple neural network, in particular, allowed us to set up a new aspect in an articial neuronal approach of methodology: an analogy between natural chaos experimentally observed in neural systems of the brain and articial neural network chaos phenomena has been considered. The signicance of asymmetry and nonlinearity, which were increased on introducing a restricted N-shaped synaptical relation in a two-mod dynamic model, is emphasized. There are illustrated the diferent computational examples of the neural network properties which are expressed by the equillibrium point, stable cycle or chaotic behaviour in strong nonlinear neural systems.
ISSN:1392-5113
2335-8963