具有分布时滞的双向联想记忆型 Cohen-Grossberg神经网络的全局指数稳定性
구유분포시체적쌍향련상기억형 Cohen-Grossberg신경망락적전국지수은정성
Global exponential stability of BAM type Cohen-Grossberg neural network with distributed delays
  • 万方数据
    仲恺农业工程学院学报 중개농업공정학원학보
    JOURNAL OF ZHONGKAI UNIVERSITY OF AGRICULTURE AND TECHNOLOGY
    2013年 4期 47-50 ,共4页

    张超龙%杨逢建%杨建富

    장초룡%양봉건%양건부

    双向联想记忆型Cohen-Grossberg神经网络%稳定%分布时滞 雙嚮聯想記憶型Cohen-Grossberg神經網絡%穩定%分佈時滯
    쌍향련상기억형Cohen-Grossberg신경망락%은정%분포시체
    bidirectional associative memory ( BAM) type Cohen-Grossberg neural networks%stability%distributed delays
    通过利用李雅普洛夫函数和Halanay不等式研究了具有分布时滞的双向联想记忆型Cohen-Grossberg神经网络，得到平衡点存在性及全局指数稳定性、全局鲁棒指数稳定性的充分条件，最后通过实例验证了结论。
    통과이용리아보락부함수화Halanay불등식연구료구유분포시체적쌍향련상기억형Cohen-Grossberg신경망락，득도평형점존재성급전국지수은정성、전국로봉지수은정성적충분조건，최후통과실례험증료결론。
    A class of the bidirectional associative memory ( BAM) type Cohen-Grossberg neural network with distributed delays was considered by Lyapunov function and Halanay inequality .Some sufficient con-ditions about the existence of equilibrium point , globally exponential stability and globally exponentially robust stability were obtained .At last, an example was given to demonstrated the results .
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