Attractor and Boundedness of Switched Stochastic Cohen-Grossberg Neural Networks
نویسندگان
چکیده
منابع مشابه
Stochastic Dynamics of Nonautonomous Cohen-Grossberg Neural Networks
and Applied Analysis 3 see 35 . When designing an associative memory neural network, we should make convergence speed as high as possible to ensure the quick convergence of the network operation. Therefore, pth moment p ≥ 2 exponential stability and almost sure exponential stability are most useful concepts as they imply that the solutions will tend to the trivial solution exponentially fast. T...
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and Applied Analysis 3 As is well known, compared with linear matrix inequalities (LMIs) result, algebraic result is more conservative, and criteria in terms of LMI can be easily checked by using the powerful Matlab LMI toolbox. This motivates us to investigate the problems of the uniformly ultimate boundedness and the existence of an attractor for switchedCGNN in this paper. The illustrative e...
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ژورنال
عنوان ژورنال: Discrete Dynamics in Nature and Society
سال: 2016
ISSN: 1026-0226,1607-887X
DOI: 10.1155/2016/4958217