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含时延的联想记忆神经网络的指数吸引域和指数收敛速度(英文) 被引量:1
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作者 李树勇 徐道义 《控制理论与应用》 EI CAS CSCD 北大核心 2002年第3期442-444,449,共4页
采用不等式技巧和非负矩阵性质 ,给出了含时延的联想记忆神经网络平衡点的指数吸引域和指数收敛速度估计以及指数稳定的一些判断条件 .
关键词 时延 联想记记忆 神经网络 指数吸引域 指数收敛速度
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含时延的双向联想记忆神经网络的指数吸引性分析 被引量:5
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作者 周小平 《四川师范大学学报(自然科学版)》 CAS CSCD 北大核心 2005年第4期386-390,共5页
针对含时延的双向联想记忆神经网络模型具有多个对应于不同记忆模式的平衡点的特点,采用不等式技巧和非负矩阵性质,建立了平衡点指数吸引域及其指数收敛速度估计的方法,所得结论对含时延的双向联想记忆神经网的设计和容错性能的评价都... 针对含时延的双向联想记忆神经网络模型具有多个对应于不同记忆模式的平衡点的特点,采用不等式技巧和非负矩阵性质,建立了平衡点指数吸引域及其指数收敛速度估计的方法,所得结论对含时延的双向联想记忆神经网的设计和容错性能的评价都很有意义. 展开更多
关键词 时延 双向联想记忆神经网络 指数吸引域 指数收敛速度
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CHOVER'S LAW OF THE ITERATED LOGARITHM FOR NEGATIVELY ASSOCIATED SEQUENCES 被引量:2
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作者 Qunying WU Yuanying JIANG 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2010年第2期293-302,共10页
Consider a sequence of negatively associated and identically distributed random variableswith the underlying distribution in the domain of attraction of a stable distribution with an exponentin(0,2).A Chover's law... Consider a sequence of negatively associated and identically distributed random variableswith the underlying distribution in the domain of attraction of a stable distribution with an exponentin(0,2).A Chover's law of the iterated logarithm is established for negatively associated randomvariables.Our results generalize and improve those on Chover's law of the iterated logarithm(LIL)type behavior previously obtained by Mikosch(1984),Vasudeva(1984),and Qi and Cheng(1996)fromthe i.i.d,case to NA sequences. 展开更多
关键词 Domain of attraction law of the iterated logarithm negatively associated.
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An Improved Result in Almost Sure Central Limit Theory for Products of Partial Sums with Stable Distribution 被引量:1
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作者 Qunying WU 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2012年第6期919-930,共12页
Consider a sequence of i.i.d.positive random variables with the underlying distribution in the domain of attraction of a stable distribution with an exponent in (1,2].A universal result in the almost sure limit theore... Consider a sequence of i.i.d.positive random variables with the underlying distribution in the domain of attraction of a stable distribution with an exponent in (1,2].A universal result in the almost sure limit theorem for products of partial sums is established. Our results significantly generalize and improve those on the almost sure central limit theory previously obtained by Gonchigdanzan and Rempale and by Gonchigdanzan.In a sense,our results reach the optimal form. 展开更多
关键词 Almost sure central limit theorem Product of partial sums Stable distribution
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