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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Zhang, Ying (Autor:in) / Huang, Chuangxia (Autor:in) / He, Yigang (Autor:in)


    Erscheinungsdatum :

    2008-05-01


    Format / Umfang :

    243337 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Dissipativity analysis of neural networks with time-varying delays

    Sun, Y. / Cui, B. T. | British Library Online Contents | 2008


    Stability analysis of discrete-time systems with additive time-varying delays

    Tang, X. M. / Yu, J. S. | British Library Online Contents | 2010



    Lagrange Exponential Stability for CVBAMNNs with Time-Varying Delays

    Zhang, Ziye / Wang, Zhen / Chen, Jian et al. | Springer Verlag | 2022