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Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 53-672
Full Name: ke yunquan
Position: Professor
Age: ON
Sex: Male
Address: Department of Mathematics of Shaoxing University,Shaoxing, Zhejiang 312000 , P.R. China
Country: CHINA
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E-mail address: keyunquan@usx.edu.cn
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Title of the Paper: Stability analysis of periodic solutions for stochastic reaction-diffusion high-order Cohen-Grossberg-type BAM neuralnetworks with delays
Authors as they appear in the Paper: Yunquan Ke, Chunfang Miao
Email addresses of all the authors: keyunquan@usx.edu.cn, miaochf@usx.edu.cn
Number of paper pages: 10
Abstract: In this paper, the mean square exponential stability of the periodic solution for stochastic reactiondiffusion high-order Cohen-Grossberg-Type BAM neural networks with time delays is investigated. By constructing suitable Lyapunov function, applying It^o formula and Poincare mapping, we give some sufficient conditions to guarantee the mean square exponential stability of the periodic solution. An illustrative example are also given in the end to show the effectiveness of our results
Keywords: stochastic reaction-diffusion Cohen-Grossberg-type BAM neural networks; It^o formula; Poincare mapping; periodic solution; mean square exponential stability
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