ALMOST SURE EXPONENTIAL STABILITY OF STOCHASTIC RECURRENT NEURAL NETWORKS WITH TIME-VARYING DELAYS
2010 ◽
Vol 20
(02)
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pp. 539-544
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Keyword(s):
The stability of stochastic recurrent neural networks with time-varying delays is investigated. A set of novel sufficient conditions on almost sure exponential stability has been established. Two examples are also given to illustrate the effectiveness of our results.
2017 ◽
Vol 10
(02)
◽
pp. 1750027
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2007 ◽
Vol 17
(03)
◽
pp. 207-218
◽
2011 ◽
Vol 2011
◽
pp. 1-16
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EXPONENTIAL STABILITY OF REACTION–DIFFUSION FUZZY RECURRENT NEURAL NETWORKS WITH TIME-VARYING DELAYS
2007 ◽
Vol 17
(09)
◽
pp. 3099-3108
◽
2007 ◽
Vol 17
(09)
◽
pp. 3219-3227
◽