Global Stability of Complex-Valued Neural Networks on Time Scales

被引：94
作者：
Bohner, Martin [1 ]
Rao, V. Sree Hari [1 ]
Sanyal, Suman [2 ]
机构：
[1] Missouri Univ Sci & Technol, Dept Math & Stat, Rolla, MO 65409 USA
[2] Marshall Univ, Dept Math, Huntington, WV 25755 USA
来源：
DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS | 2011年 / 19卷 / 1-2期
关键词：
Time scales; Complex-valued neural networks; globally; exponentially stable;
D O I：
10.1007/s12591-010-0076-9
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, activation dynamics of complex-valued neural networks are studied on general time scales. Besides presenting conditions guaranteeing the existence of a unique equilibrium pattern, its global exponential stability is discussed. Some numerical examples for different time scales are given in order to highlight the results.
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页码：3 / 11
页数：9
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