Global convergence of periodic solution of neural networks with discontinuous activation functions

Lihong Huang and Zhenyuan Guo

Chaos, Solitons & Fractals, 2009, vol. 42, issue 4, 2351-2356

Abstract: In this paper, without assuming boundedness and monotonicity of the activation functions, we establish some sufficient conditions ensuring the existence and global asymptotic stability of periodic solution of neural networks with discontinuous activation functions by using the Yoshizawa-like theorem and constructing proper Lyapunov function. The obtained results improve and extend previous works.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:42:y:2009:i:4:p:2351-2356

DOI: 10.1016/j.chaos.2009.03.124

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