Information processing using dynamical chaos: neural networks implementation

Y V Andreyev; Y L Belsky; A S Dmitriev; D A Kuminov

doi:10.1109/72.485632

Information processing using dynamical chaos: neural networks implementation

IEEE Trans Neural Netw. 1996;7(2):290-9. doi: 10.1109/72.485632.

Authors

Y V Andreyev¹, Y L Belsky, A S Dmitriev, D A Kuminov

Affiliation

¹ Inst. of Radio Eng. and Electron., Acad. of Sci., Moscow.

PMID: 18255583
DOI: 10.1109/72.485632

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.