Referenced Items are not available for this document.
In this brief, stability of multiple equilibria of recurrent neural networks with time-varying delays and the piecewise linear activation function is studied. A sufficient condition is obtained to ensure that n-neuron recurrent neural networks can have (4k-1)n equilibrium points and (2k)n of them are locally exponentially stable. This condition improves and extends the existing stability results in the literature. Simulation results are also discussed in one illustrative example.
Published in:
Neural Networks, IEEE Transactions on
(Volume:21
,
Issue:
8
)
Date of Publication: Aug. 2010
- Page(s):
- 1371 - 1377
- ISSN :
- 1045-9227
- INSPEC Accession Number:
- 11450109
- Digital Object Identifier :
- 10.1109/TNN.2010.2054106
- Product Type:
- Journals & Magazines
- Date of Publication :
- 12 July 2010
- Date of Current Version :
- 03 August 2010
- Issue Date :
- Aug. 2010
- Sponsored by :
- IEEE Computational Intelligence Society
- PubMed ID :
- 20624705
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