Stability Analysis of Recurrent Neural Networks with Random Delay and Markovian Switching
In this paper, the exponential stability analysis problem is considered for a class of recurrent neural networks (RNNs) with random delay and Markovian switching. The evolution of the delay is modeled by a continuous-time homogeneous Markov process with a finite number of states. The main purpose of...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2010-01-01
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| Serie: | Journal of Inequalities and Applications |
| Accesso online: | http://dx.doi.org/10.1155/2010/191546 |
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