Stability results for stochastic bidirectional associative memory neural networks with multiple discrete and distributed time-varying delays
Xiaodi Li, Pagavathigounder Balasubramaniam, Rajan Rakkiyappan · International Journal of Computer Mathematics · 2011
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.