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Global stability analysis of bidirectional associative memory neural networks with time delay

✍ Scribed by Jiye Zhang; Yiren Yang

Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
108 KB
Volume
29
Category
Article
ISSN
0098-9886

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✦ Synopsis

Abstract

In this paper, without assuming the boundedness, monotonicity and differentiability of the activation functions, we present new conditions ensuring existence, uniqueness, and global asymptotical stability of the equilibrium point of bidirectional associative memory neural networks with fixed time delays or distributed time delays. The results are applicable to both symmetric and non‐symmetric interconnection matrices, and all continuous non‐monotonic neuron activation functions. Copyright Β© 2001 John Wiley & Sons, Ltd.

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