版权说明 操作指南
首页 > 成果 > 详情

Hopf Bifurcation Analysis of a Delayed Fractional BAM Neural Network Model with Incommensurate Orders

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Li, Bingbing;Liao, Maoxin;Xu, Changjin;Li, Weinan
通讯作者:
Maoxin Liao
作者机构:
[Li, Weinan; Li, Bingbing; Liao, Maoxin] Univ South China, Sch Math & Phys, Hengyang 421001, Hunan, Peoples R China.
[Xu, Changjin] Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Guizhou, Peoples R China.
通讯机构:
[Maoxin Liao] S
School of Mathematics and Physics, University of South China, Hengyang, People’s Republic of China
语种:
英文
关键词:
Fractional-order BAM neural networks;Hopf bifurcation;Stability;Incommensurate orders
期刊:
Neural Processing Letters
ISSN:
1370-4621
年:
2023
卷:
55
期:
5
页码:
5905-5921
基金类别:
National Natural Science Foundation of China [12261015, 61673008]; Guizhou University of Finance and Economics; Institute of International Trade and Economic Cooperation of Ministry of Commerce on Contiguous areas of extreme poverty Poor peasant psychological Poverty alleviation [2017SWBZD09]; Hunan Natural Science Foundation [2020JJ4516]; Hunan Provincial Key Foundation of Education Department [17A181]; Hunan Key Laboratory of Mathematical Modeling and Scientific Computing
机构署名:
本校为第一机构
院系归属:
数理学院
摘要:
In this paper, a six-neuron incommensurate fractional order BAM neural network model with multi-delays is considered. We demonstrate that the equilibrium point of the system loses its stability and Hopf bifurcation emerges when the delay passes through a critical value. And the relationship between the critical delay of Hopf bifurcation and size of fractional orders is found. Finally, some numerical simulations are given ...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com