Exponential periodicity and stability of delayed neural networks

Changyin Sun and Chun-Bo Feng

Mathematics and Computers in Simulation (MATCOM), 2004, vol. 66, issue 6, 469-478

Abstract: In this paper, exponential periodicity and stability of delayed neural networks is investigated. Without assuming the boundedness and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural systems are obtained. The delayed Hopfield network, bidirectional associative memory network, and cellular neural network are special cases of the neural system model considered.

Keywords: Exponential periodicity; Exponential stability; Young inequality; Activation functions; Delayed neural networks (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:66:y:2004:i:6:p:469-478

DOI: 10.1016/j.matcom.2004.03.001

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