Existence and global exponential stability of a periodic solution for a discrete-time interval general BAM neural networks |
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| Authors: | Zhengqiu Zhang Dongming Zhou |
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| Institution: | a College of Mathematics, Hunan University, Changsha 410082, PR China
b Information College, Yunnan University, Kunming 650091, PR China |
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| Abstract: | In this paper, a discrete-time interval general BAM bidirectional associative memory neural networks model is considered. By employing the theory of coincidence degree and using Halanay-type inequality technique we establish new sufficient conditions ensuring the existence and global exponential stability of periodic solutions for the discrete-time interval general BAM bidirectional neural networks. The results obtained generalize and improve known results in 23]. An example is provided to show the correctness of our analysis. |
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| Keywords: | Periodic solutions Interval general BAM bidirectional associative memory Neural networks Global exponential stability Coincidence degree theory |
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