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Information Journal Paper

Title

Global dissipativity of fuzzy bidirectional associative memory neural networks with proportional delays

Pages

  65-80

Abstract

 This article aimed to investigate the problem of global dissipativity of Fuzzy Bidirectional Associative Memory Neural Networks (FBAMNNs-for short) with proportional delays. Via Lyapunov functionals (LFs-for short) and Linear Matrix Inequality (LMI-for short) approach, we obtained new sufficient conditions to guarantee the global dissipativity and global exponential dissipativity of the proposed model. In addition, two different types of activation functions are considered, including general bounded and Lipschitz-type activation functions. Moreover, the globally attractive and globally exponentially attractive sets are presented. Lastly, two numerical examples are given to illustrate the effectiveness of the developed results.

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    APA: Copy

    Aouiti, c., Sakthivel, R., & Touati, f.. (2021). Global dissipativity of fuzzy bidirectional associative memory neural networks with proportional delays. IRANIAN JOURNAL OF FUZZY SYSTEMS, 18(2 ), 65-80. SID. https://sid.ir/paper/414103/en

    Vancouver: Copy

    Aouiti c., Sakthivel R., Touati f.. Global dissipativity of fuzzy bidirectional associative memory neural networks with proportional delays. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2021;18(2 ):65-80. Available from: https://sid.ir/paper/414103/en

    IEEE: Copy

    c. Aouiti, R. Sakthivel, and f. Touati, “Global dissipativity of fuzzy bidirectional associative memory neural networks with proportional delays,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 18, no. 2 , pp. 65–80, 2021, [Online]. Available: https://sid.ir/paper/414103/en

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