This paper formulates and studies a model of neural network under a time-varying environment. Without assuming the smoothness, monotonicity and boundedness of the activation functions, the existence and global exponential stability of an unique equilibrium are investigated. Ourap-proach is based on the Brouwer's fixed point theorem, Banach fixed point theorem, and Halanay-type inequality.


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    Title :

    Stability Analysis of a Class of Two-Neuron Networks with Time-Varying Delays


    Contributors:
    Zhang, Ying (author) / Huang, Chuangxia (author) / He, Yigang (author)


    Publication date :

    2008-05-01


    Size :

    243337 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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