Global attractivity and global exponential stability for delayed Hopfield neural network models
Some global properties such as global attractivity and global exponential stability for delayed Hopfield neural networks model, under the weaker assumptions on nonlinear activation functions, are concerned. By constructing suitable Liapunov function, some simpler criteria for global attractivity and global exponential stability for Hopfield continuous neural networks with time delays are presented.
Key wordsneural networks global attractivity global exponential stability
CLC numbersTN911.23 O332
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