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1. Stability results for stochastic bidirectional associative memory neural networks with multiple discrete and distributed time-varying delays.

Author

Li, Xiaodi, Balasubramaniam, P., and Rakkiyappan, R.

Subjects
*STOCHASTIC analysis, *ARTIFICIAL neural networks, *LYAPUNOV functions, *NUMERICAL analysis, *COMPUTATIONAL mathematics, *COMPUTER simulation, *MATHEMATICAL models
Abstract

This paper is concerned with the global asymptotic stability of a class of stochastic bidirectional associative memory neural networks with both multiple discrete and distributed time-varying delays. A new criterion of asymptotic stability is derived in terms of linear matrix inequality, which can be efficiently solved by a standard numerical software. An illustrative numerical example is also given to show the applicability and effectiveness of the proposed results. [ABSTRACT FROM AUTHOR]

Published
2011
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