期刊
NEURAL COMPUTING & APPLICATIONS
卷 23, 期 3-4, 页码 1089-1099出版社
SPRINGER LONDON LTD
DOI: 10.1007/s00521-012-1037-8
关键词
BAM neural networks; Inertial term; Lyapunov function; Weierstrass criteria; Exponential stability
资金
- Natural Science Foundation of Zhejiang Province [Y6100096]
- National Natural Science Foundation of China [10871226, 10875078]
In this paper, the global exponential stability and existence of periodic solutions for inertial BAM neural networks are investigated. The system is transformed to first-order differential equation with chosen variable substitution. Then, some new sufficient conditions that ensure the existence and exponential stability of periodic solutions for the system are obtained by constructing suitable Lyapunov function, using Weierstrass criteria and boundedness of solutions. Finally, an example is given to illustrate the effectiveness of the results.
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