On stability of recurrent neural networks-an approach from volterra integro-differential equations

Authors:
Pingzhou Liu;Q. -L. Han
Affiliations:
Fac. of Informatics & Commun., Central Queensland Univ., Rockhampton, Qld., Australia;-
Venue:
IEEE Transactions on Neural Networks
Year:
2006

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Abstract

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.