Razumikhin-type Theorems on Stability of Stochastic Neural Networks with Delays
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چکیده
Although the stability of neural networks has been studied by many authors, the problem of stochastic effects on the stability has not been investigated until recently by Liao and Mao [7, 8]. In this paper we shall investigate the stability problem for stochastic neural networks with time-varying delay. The main technique employed in this paper is the well-known Razumikhin argument, which is completely different from those used in Liao and Mao [7, 8].
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تاریخ انتشار 2001