Dynamical Analysis of DTNN with Impulsive Effect
2009 ◽
Vol 2009
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pp. 1-12
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We present dynamical analysis of discrete-time delayed neural networks with impulsive effect. Under impulsive effect, we derive some new criteria for the invariance and attractivity of discrete-time neural networks by using decomposition approach and delay difference inequalities. Our results improve or extend the existing ones.
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2006 ◽
Vol 17
(5)
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pp. 1141-1151
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2018 ◽
Vol 6
(3)
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pp. 74-84
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Keyword(s):
2008 ◽
Vol 19
(11)
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pp. 1910-1921
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