具有时滞的递归神经网络模型的分支分析

被引：6

作者：

刘霞 ^{[1
,2
]}

焦建锋 ^{[1
,2
]}

机构：

[1] 河南师范大学数学与信息科学学院

[2] 大数据统计分析与优化控制河南省工程实验室

来源：

河南师范大学学报(自然科学版) | 2016年 / 44卷 / 01期

关键词：

神经网络模型; B-T分支; triplezero分支; 规范型;

D O I：

10.16366/j.cnki.1000-2367.2016.01.001

中图分类号：

O175 [微分方程、积分方程];

学科分类号：

070302 [分析化学];

摘要：

主要研究了一类含有6个时滞的四阶神经网络模型的分支问题.通过应用时滞微分方程的中心流形定理和规范型理论,得到了系统在原点处的Bogdanov-Takens(B-T)分支和triple zero分支的规范型,进而给出了一些主要的分支现象.

引用

页码：1 / 7

页数：7

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