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一类时滞区间神经网络的全局鲁棒指数周期性
引用本文:王晖.一类时滞区间神经网络的全局鲁棒指数周期性[J].成都大学学报(自然科学版),2010,29(3):232-235.
作者姓名:王晖
作者单位:莱芜职业技术学院,山东,莱芜,271100
摘    要:在不要求激活函数有界,可微和单调的条件下,利用不等式分析技巧和Lyapunov泛函方法讨论了一类时滞区间神经网络的全局鲁棒指数稳定性和周期性,给出了实用有效的判据,推广了有关文献中的结果.

关 键 词:时滞区间神经网络  全局鲁棒指数周期性  Lyapunov泛函

Global Robust Exponential Periodicity of One Class of Delay Time Interval Neural Networks
WANG Hui.Global Robust Exponential Periodicity of One Class of Delay Time Interval Neural Networks[J].Journal of Chengdu University (Natural Science),2010,29(3):232-235.
Authors:WANG Hui
Institution:WANG Hui(Laiwu Vocation Technology College,Laiwu 271100,China)
Abstract:With the condition of not activating bound of function,differentiable and monotonic,inequality analysis technique and Lyapunov functional method were used to discuss global robust exponential stability and periodicity of a class of delay time interval neural networks.Some efficient criteria were proposed and outcomes in concerning literatures were promoted.
Keywords:interval delayed neural networks  global exponential robust periodicity  Lyapunov function
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