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- W2063397668 abstract "In this Letter, synchronization of a class of chaotic neural networks with known or unknown parameters is investigated. By combing the adaptive control and linear feedback with update law, a simple, analytical, and rigorous adaptive feedback scheme is derived to achieve synchronization of two coupled neural networks with time-varying delay based on the invariant principle of functional differential equations and parameter identification. With this method, parameter identification and synchronization can be achieved simultaneously. Simulation results are given to justify the theoretical analysis." @default.
- W2063397668 created "2016-06-24" @default.
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- W2063397668 date "2008-01-01" @default.
- W2063397668 modified "2023-10-08" @default.
- W2063397668 title "Adaptive synchronization of a class of chaotic neural networks with known or unknown parameters" @default.
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- W2063397668 doi "https://doi.org/10.1016/j.physleta.2007.07.050" @default.
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