Title :
Information processing using dynamical chaos: neural networks implementation
Author :
Andreyev, Yuri V. ; Belsky, Yuri L. ; Dmitriev, Alexander S. ; Kuminov, Dmitrij A.
Author_Institution :
Inst. of Radio Eng. & Electron., Acad. of Sci., Moscow, Russia
fDate :
3/1/1996 12:00:00 AM
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
Keywords :
chaos; content-addressable storage; dynamics; image recognition; information retrieval; recurrent neural nets; associative memory; complex dynamics; dynamical chaos; image recognition; information processing; information retrieval; limit cycles; mathematical models; piecewise-linear maps; recurrent neural networks; Artificial neural networks; Biological neural networks; Chaos; Computational efficiency; Information processing; Mathematical model; Neural networks; Piecewise linear techniques; Recurrent neural networks; Very large scale integration;
Journal_Title :
Neural Networks, IEEE Transactions on
