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• W2148432913 endingPage "1151" @default.
• W2148432913 startingPage "1141" @default.
• W2148432913 abstract "In this paper, the multiperiodicity of a general class of discrete-time delayed neural networks (DTDNNs) is formulated and studied. Several sufficient conditions are obtained to ensure n-neuron DTDNNs can have 2n periodic orbits and these periodic orbits are locally attractive. In addition, we give the conditions for a periodic orbit to be locally or globally attractive when the periodic orbit locates in a designated region. As two typical representatives, the Hopfield neural network and the cellular neural network are examined in detail. These conditions improve and extend the existing stability results in the literature. Simulations results are also discussed in three illustrative examples." @default.
• W2148432913 created "2016-06-24" @default.
• W2148432913 creator A5044406254 @default.
• W2148432913 creator A5081245089 @default.
• W2148432913 date "2006-09-01" @default.
• W2148432913 modified "2023-09-26" @default.
• W2148432913 title "Multiperiodicity of Discrete-Time Delayed Neural Networks Evoked by Periodic External Inputs" @default.
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• W2148432913 doi "https://doi.org/10.1109/tnn.2006.877533" @default.
• W2148432913 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17001976" @default.
• W2148432913 hasPublicationYear "2006" @default.
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