郑州大学学报（理学版）
鄭州大學學報（理學版）
정주대학학보（이학판）
JOURNAL OF ZHENGZHOU UNIVERSITY(NATURAL SCIENCE EDITION)
2008年
2期
42-47
,共6页
神经网络%全局指数耗散性%分布延时
神經網絡%全跼指數耗散性%分佈延時
신경망락%전국지수모산성%분포연시
neural network%global exponential dissipativity%distributed delay
通过构造径向无界正定的Lyapunov函数,研究了一类具有有限分布延时的神经网络的全局指数耗散性,在假定延时可微的情况下,给出了几个确保网络全局耗散性的充分条件.最后通过一个数值例子说明条件的有效性.
通過構造徑嚮無界正定的Lyapunov函數,研究瞭一類具有有限分佈延時的神經網絡的全跼指數耗散性,在假定延時可微的情況下,給齣瞭幾箇確保網絡全跼耗散性的充分條件.最後通過一箇數值例子說明條件的有效性.
통과구조경향무계정정적Lyapunov함수,연구료일류구유유한분포연시적신경망락적전국지수모산성,재가정연시가미적정황하,급출료궤개학보망락전국모산성적충분조건.최후통과일개수치례자설명조건적유효성.
The global exponential dissipativity of a class of neural networks with finite distributed delays is investiga-ted by constructing radically unbounded and positive definite Lyapunov function. Several sufficient conditions are given to guarantee global exponential dissipativity of the neural networks with assuming the differentiability of de-lay. At last, an example is given to illustrate the applicability of the conditions.
