柳州师专学报
柳州師專學報
류주사전학보
Journal of Liuzhou Teachers College
2015年
4期
141-147
,共7页
混合时滞%脉冲离散Cohen-Grossberg神经网络%全局吸引集%准不变集
混閤時滯%脈遲離散Cohen-Grossberg神經網絡%全跼吸引集%準不變集
혼합시체%맥충리산Cohen-Grossberg신경망락%전국흡인집%준불변집
mixed delays%impulsive discrete-time Cohen-Grossberg neural networks%global attracting set%quasi-invariant set
研究了一类具有混合时滞的脉冲离散Cohen-Grossberg神经网络的渐近行为.通过构造一个新的时滞不等式和利用"ρ-锥"理论,获得该神经网络全局吸引集和准不变集的充分条件.
研究瞭一類具有混閤時滯的脈遲離散Cohen-Grossberg神經網絡的漸近行為.通過構造一箇新的時滯不等式和利用"ρ-錐"理論,穫得該神經網絡全跼吸引集和準不變集的充分條件.
연구료일류구유혼합시체적맥충리산Cohen-Grossberg신경망락적점근행위.통과구조일개신적시체불등식화이용"ρ-추"이론,획득해신경망락전국흡인집화준불변집적충분조건.
In this paper,the asymptotic behavior for a class of impulsive discrete-time Cohen-Grossberg neural networks with mixed delays is discussed. By establishing a new delay inequality and using the properties of"ρ-cone",the paper gains some sufficient condi?tions for the global attracting and quasi-invariant sets of this neural networks.
