Almost periodic solutions for fuzzy cellular neural networks with multi-proportional delays

被引：68

作者：

Huang, Zuda ^{[1
]}

机构：

[1] Hunan Univ Arts & Sci, Coll Math & Comp Sci, Changde 415000, Hunan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2017年 / 8卷 / 04期

关键词：

Fuzzy cellular neural networks; Almost periodic solution; Existence; Global attractivity; Multi-proportional delay; EXPONENTIAL STABILITY; VARIABLE-COEFFICIENTS; DISTRIBUTED DELAYS; FCNNS; CNNS;

D O I：

10.1007/s13042-016-0507-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a class of fuzzy cellular neural networks with multi-proportional delays is investigated. By applying contraction mapping fixed point theorem and differential inequality techniques, some sufficient conditions are established for the existence and global attractivity of a unique almost periodic solution for the model, which improve and supplement existing ones. Moreover, a numerical example is given to illustrate the feasibility and application of the obtained results.

引用

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页码：1323 / 1331

页数：9

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