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Convergence for delayed Hopfield neural networks without the M-matrix condition. (Chinese. English summary) Zbl 1201.92011

Summary: The asymptotic behavior of solutions of Hopfield neural network models with delays is investigated. Without assuming the M-matrix condition, it is shown that every solution of such neural network tends to an equilibrium point as \(t\to \infty\). The results improve and extend some corresponding ones already known.

MSC:

92B20 Neural networks for/in biological studies, artificial life and related topics
34K60 Qualitative investigation and simulation of models involving functional-differential equations
34K05 General theory of functional-differential equations
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