Information processing using dynamical chaos: neural networks implementation

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...

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Veröffentlicht in:	IEEE transactions on neural networks 1996-03, Vol.7 (2), p.290-299
Hauptverfasser:	Andreyev, Y.V., Belsky, Y.L., Dmitriev, A.S., Kuminov, D.A.
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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Beschreibung
Zusammenfassung:	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.
ISSN:	1045-9227 1941-0093
DOI:	10.1109/72.485632