Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 17, Issue 1, Pages 264-267Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2005.860859
Keywords
delay; recurrent neural networks (RNNs); stability; Volterra integro-differential systems
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The uniform asymptotic stability of recurrent neural networks (RNNs) with distributed delay is analyzed by comparing RNNs to linear Volterra integro-differential systems under Lipschitz continuity of activation functions. The stability criteria obtained have unified and extended many existing results on RNNs.
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