Abstract
This paper is concerned with the stability problem for stochastic bidirectional associative memory neural networks with distributed time delays. By applying the Lyapunov functional method, the semimartingale convergence theorem, and some inequality techniques, some sufficient conditions are derived to guarantee the almost sure exponential stability of the system. One example is provided at the end of this paper to show the effectiveness of our results.
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Wang, G. (2010). Stability Analysis for Stochastic BAM Neural Networks with Distributed Time Delays. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13278-0_92
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DOI: https://doi.org/10.1007/978-3-642-13278-0_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13277-3
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