Asymptotical Mean Square Stability of Cohen-Grossberg Neural Networks with Random Delay
The asymptotical mean-square stability analysis problem is considered for a class of Cohen-Grossberg neural networks (CGNNs) with random delay. The evolution of the delay is modeled by a continuous-time homogeneous Markov process with a finite number of states. The main purpose of this paper is to e...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2010-01-01
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| coleção: | Journal of Inequalities and Applications |
| Acesso em linha: | http://dx.doi.org/10.1155/2010/247587 |
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