Stability Analysis of Hopfield Neural Networks With Time Delay
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摘要: 研究了具有时滞的Hopfield型神经网络模型平衡点的全局渐近稳定性。去掉了有关文献中关于fj在R上有界性、可微性的条件,给出了更弱的实用性较强的判定平衡点的存在唯一性及全局渐近稳定性的条件,增强了模型的适用性。Abstract: The global asymptotic stability for Hopfield neural networks with time delay was investigated.A theorem and two corollaries were obtained,in which the boundness and differentiability of fj on R in some articles were deleted.Some sufficient conditions for the existence of global asymptotic stable equilibrium of the networks in this paper are better than the sufficient conditions in quoted articles.
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Key words:
- neural networks /
- equilibrium /
- stability /
- topological degree
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