Existence and exponentially stability of anti-periodic solutions for neutral BAM neural networks with time-varying delays in the leakage terms
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Authors
Changjin Xu
- Guizhou Key Laboratory of Economics System Simulation Guizhou, University of Finance and Economics, Guiyang 550004, China.
Peiluan Li
- School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang 471023, China.
Abstract
This paper is concerned with the existence and exponential stability of anti-periodic solutions of a neutral
BAM neural network with time-varying delays in the leakage terms. Using some analysis skills and Lyapunov
method, a series of sufficient conditions for the existence and exponential stability of anti-periodic solutions
to the neutral BAM neural networks with time-varying delays in the leakage terms are presented. Our
results are new and complement some previously known ones.
Share and Cite
ISRP Style
Changjin Xu, Peiluan Li, Existence and exponentially stability of anti-periodic solutions for neutral BAM neural networks with time-varying delays in the leakage terms, Journal of Nonlinear Sciences and Applications, 9 (2016), no. 3, 1285--1305
AMA Style
Xu Changjin, Li Peiluan, Existence and exponentially stability of anti-periodic solutions for neutral BAM neural networks with time-varying delays in the leakage terms. J. Nonlinear Sci. Appl. (2016); 9(3):1285--1305
Chicago/Turabian Style
Xu, Changjin, Li, Peiluan. "Existence and exponentially stability of anti-periodic solutions for neutral BAM neural networks with time-varying delays in the leakage terms." Journal of Nonlinear Sciences and Applications, 9, no. 3 (2016): 1285--1305
Keywords
- Neutral BAM neural network
- anti-periodic solution
- exponential stability
- time-varying delay
- leakage term.
MSC
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