Periodic Solutions for Impulsive Stochastic BAM Neural Networks with Time-Varying Delays in Leakage Terms | Zendy

Yang Li | Zendy; Yongkun Li | Zendy

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Periodic Solutions for Impulsive Stochastic BAM Neural Networks with Time-Varying Delays in Leakage Terms

Author(s) -

Yang Li,

Yongkun Li

Publication year - 2013

Publication title -

international journal of differential equations

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 20

eISSN - 1687-9651

pISSN - 1687-9643

DOI - 10.1155/2013/543947

Subject(s) - leakage (economics) , mathematics , artificial neural network , exponential stability , class (philosophy) , control theory (sociology) , stochastic neural network , stability (learning theory) , exponential function , mathematical analysis , computer science , nonlinear system , recurrent neural network , physics , artificial intelligence , economics , control (management) , quantum mechanics , machine learning , macroeconomics

By using an integral inequality, we establish some sufficient conditions for the existence and p-exponential stability of periodic solutions for a class of impulsive stochastic BAM neural networks with time-varying delays in leakage terms. Moreover, we present an example to illustrate the feasibility of our results

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