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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2328/25804
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| Title: | Delay-independent stability in bidirectional associative memory networks |
| Authors: | Gopalsamy, Kondalsamy
He, Xue-Zhong |
| Keywords: | Delays
Neural nets
Stability
State-space methods |
| Issue Date: | 1994 |
| Publisher: | Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing) |
| Citation: | Gopalsamy, K. and He, X.-Z. 1994. Delay-independent stability in bidirectional associative memory networks. IEEE Transactions on Neural Networks 5 (6), 998-1002. |
| 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. |
| URI: | http://hdl.handle.net/2328/25804 |
| ISSN: | 1045-9227 |
| Appears in Collections: | Computer Science, Engineering and Mathematics - Collected Works
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