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On global robust exponential stability of interval neural networks with delays

  • Southeast University, Nanjing

科研成果: 会议稿件论文同行评审

8 引用 (Scopus)

摘要

In this paper, based on globally Lipschitz continuous activation functions, new conditions ensuring existence, uniqueness and global robust exponential stability of the equilibrium point of interval neural networks with delays are obtained. The delayed Hopfield network, Bidirectional associative memory network and Cellular neural network are special cases of the network model considered in this paper. All the results obtained are generalizations of some recent results reported in the literature for neural networks with constant delays.

源语言英语
2738-2742
页数5
出版状态已出版 - 2002
已对外发布
活动2002 International Joint Conference on Neural Networks (IJCNN'02) - Honolulu, HI, 美国
期限: 12 5月 200217 5月 2002

会议

会议2002 International Joint Conference on Neural Networks (IJCNN'02)
国家/地区美国
Honolulu, HI
时期12/05/0217/05/02

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