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Information Processing with Chaos - Neural Networks
Information Processing Using Dynamical Chaos

Yuri V. Andreyev, Yuri L. Belsky, Alexander S. Dmitriev, and Dmitri A. Kuminov
Institute of Radioengineering and Electronics of the Russian Academy of Sciences
Moscow, 103907, Russia

IEEE Transactions on Neural Networks, 1996, vol. 7, pp. 290-299.
Received February 23, 1993. Revised April 20, 1994 and October 3, 1995.
Abstract
In this work, we study information processing applications of complex dynamics and chaos in neural networks. We discuss mathematical models based on piecewise-linear maps which enable us to realize the basic functions of information processing using complex dynamics and chaos. Realizations of these models using recurrent neural-like systems are presented.