Global stability analysis in Hopfield neural networks (Q1431841)
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scientific article; zbMATH DE number 2073706
| Language | Label | Description | Also known as |
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| English | Global stability analysis in Hopfield neural networks |
scientific article; zbMATH DE number 2073706 |
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Global stability analysis in Hopfield neural networks (English)
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11 June 2004
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This paper deals with Hopfield-type neural networks. Sufficient conditions for the global asymptotic stability of the equilibrium points of such networks are derived. For this reason, Lyapunov functions are constructed by using M-matrices and without assuming boundedness, monotonicity and differentiability of the activation functions.
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neural network
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global asymptotic stability
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M-matrix
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