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Global stability of bidirectional associative memory neural networks with continuously distributed delays |
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| Authors: | Zhang?Qiang? mailto:zhangq@.com" title=" zhangq@.com" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author,Ma?Runnian,Xu?Jin |
| Affiliation: | 1. Institute of Electronic Engineering, Xidian University, Xi'an 710071, China 2. Institute of Systems Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
| Abstract: | Global asymptotic stability of the equilibrium point of bidirectional associative memory (BAM) neural networks with continuously distributed delays is studied. Under two mild assumptions on the activation functions, two sufficient conditions ensuring global stability of such networks are derived by utilizing Lyapunov functional and some inequality analysis technique. The results here extend some previous results. A numerical example is given showing the validity of our method. |
| Keywords: | global asymptotic stability bidirectional associative memory neural networks continuously distributed delays. |
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