Information processing using dynamical chaos: neural networks implementation
Yuri V. Andreyev, Y. Belsky, A. S. Dmitriev, D.A. Kuminov · IEEE Transactions on Neural Networks · 1996
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.