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Mean square exponential stability of stochastic Hopfield neural networks with mixed delays
Xiaofei Li; Deng Ding
2017-07
Source PublicationStatistics and Probability Letters
ABS Journal Level2
ISSN0167-7152
Volume126Pages:88-96
Abstract

In this paper, the mean square exponential stability of a class of stochastic Hopfield neural networks with mixed delays is investigated. Employing Ito's formula and applying the inequality techniques, a sufficient condition ensuring mean square exponential stability is proved. The main result derived in this paper generalizes the results in Wan and Sun (2005), Sun and Cao (2007) and Zhu and Cao (2014) etc. An example is also given to illustrate the main result.

KeywordMean Square Exponential Stability Stochastic Hopfield Neural Network Itô’s Formula Delay
DOI10.1016/j.spl.2017.02.029
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000400535600012
The Source to ArticleWOS
Scopus ID2-s2.0-85015690210
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF MATHEMATICS
AffiliationDepartment of Mathematics, University of Macau, Macao, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Xiaofei Li,Deng Ding. Mean square exponential stability of stochastic Hopfield neural networks with mixed delays[J]. Statistics and Probability Letters, 2017, 126, 88-96.
APA Xiaofei Li., & Deng Ding (2017). Mean square exponential stability of stochastic Hopfield neural networks with mixed delays. Statistics and Probability Letters, 126, 88-96.
MLA Xiaofei Li,et al."Mean square exponential stability of stochastic Hopfield neural networks with mixed delays".Statistics and Probability Letters 126(2017):88-96.
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