Reproducing chaos by variable structure recurrent neural networks

Authors:
R. A. Felix;E. N. Sanchez;Guanrong Chen
Affiliations:
CINVESTAV, Guadalajara, Spain;-;-
Venue:
IEEE Transactions on Neural Networks
Year:
2004

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Abstract

In this paper, we present a new approach for chaos reproduction using variable structure recurrent neural networks (VSRNN). A neural network identifier is designed, with a variable structure that will change according to its output performance as compared to the given orbits of an unknown chaotic systems. A tradeoff between identification errors and computational complexity is discussed.