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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/135223
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/135223


    Title: Global synchronization of coupled reaction–diffusion neural networks with general couplings via an iterative approach
    Authors: 曾睿彬
    Tseng, Jui-Pin
    Contributors: 應數系
    Date: 2020-08
    Issue Date: 2021-05-27 11:42:06 (UTC+8)
    Abstract: We establish a framework to investigate the global synchronization of coupled reaction–diffusion neural networks with time delays. The coupled networks under consideration can incorporate both the internal delays in each individual network and the transmission delays across different networks. The coupling scheme for the coupled networks is rather general, and its performance is not adversely affected by the restrictions commonly imposed by existing relevant investigations. Based on the proposed iterative approach, the problem of global synchronization is transformed into that of solving the corresponding homogeneous linear system of algebraic equations. The synchronization criterion is subsequently derived and can be verified with simple computations. Three numerical examples are presented to illustrate the effectiveness of the synchronization theory presented in this paper.
    Relation: IMA Journal of Applied Mathematics, Vol.85, No.4, pp.635 - 669
    Data Type: article
    DOI 連結: https://doi.org/10.1093/imamat/hxaa025
    DOI: 10.1093/imamat/hxaa025
    Appears in Collections:[應用數學系] 期刊論文

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