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Delay-independent stability in bidirectional associative memory networks
1Sch. of Inf. Sci. and Technol., Flinders Univ. of South Australia, Adelaide, SA.
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.
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