Delay-independent stability in bidirectional associative memory networks

Authors:
K. Gopalsamy;Xue-Zhong He
Affiliations:
Sch. of Inf. Sci. & Technol., Flinders Univ. of South Australia, Adelaide, SA;-
Venue:
IEEE Transactions on Neural Networks
Year:
1994

Citing 0
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Abstract

It is shown that if the neuronal gains are small compared with the synaptic connection weights, then a bidirectional associative memory network with axonal signal transmission delays converges to the equilibria associated with exogenous inputs to the network. Both discrete and continuously distributed delays are considered; the asymptotic stability is global in the state space of neuronal activations and also is independent of the delays