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11 Sep 2009
Algebraic condition of synchronization for multiple timedelayed chaotic Hopfield neural networks
 Hanlin He,
 Jianjun Tu
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In this paper, an easy and efficient method is brought forward to design the feedback control for the synchronization of two multiple timedelayed chaotic Hopfield neural networks, whose activation functions and delayed activation functions can have different forms of mapping. Without many complex restrictions and Lyapunov analytic process, the feedback control is given based on the Mmatrix theory, the system parameters and the feedback section coefficients. All the results are simulated by Matlab and Simulink, which shows the simplicity and validity of the control. As shown in the simulation results, the error systems converge to zero rapidly.
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 Title
 Algebraic condition of synchronization for multiple timedelayed chaotic Hopfield neural networks
 Journal

Neural Computing and Applications
Volume 19, Issue 4 , pp 543548
 Cover Date
 20100601
 DOI
 10.1007/s0052100903067
 Print ISSN
 09410643
 Online ISSN
 14333058
 Publisher
 SpringerVerlag
 Additional Links
 Topics
 Keywords

 Synchronization
 Chaos
 Hopfield neural network
 Time delays
 Algebraic condition
 Industry Sectors
 Authors

 Hanlin He ^{(1)}
 Jianjun Tu ^{(1)}
 Author Affiliations

 1. College of Science, Naval University of Engineering, 430033, Wuhan, China