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Global robust attractive and invariant sets of fuzzy neural networks with delays and impulses
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نویسنده
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zhao k. ,wang l. ,liu j.
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منبع
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journal of applied mathematics - 2013 - دوره : 2013 - شماره : 0
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چکیده
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A class of fuzzy neural networks (fnns) with time-varying delays and impulses is investigated. with removing some restrictions on the amplification functions,a new differential inequality is established,which improves previouse criteria. applying this differential inequality,a series of new and useful criteria are obtained to ensure the existence of global robust attracting and invariant sets for fnns with time-varying delays and impulses. our main results allow much broader application for fuzzy and impulsive neural networks with or without delays. an example is given to illustrate the effectiveness of our results. © 2013 kaihong zhao et al.
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آدرس
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center of engineering mathematics,department of applied mathematics,kunming university of science and technology,kunming, China, center of engineering mathematics,department of applied mathematics,kunming university of science and technology,kunming, China, department of mathematics,yuxi normal university,yuxi, China
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Authors
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