版权说明 操作指南
首页 > 成果 > 详情

Dynamics analysis and hardware implementation of multi-scroll hyperchaotic hidden attractors based on locally active memristive Hopfield neural network

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:
Tang, Dong;Wang, Chunhua;Lin, Hairong;Yu, Fei
通讯作者:
Wang, CH
作者机构:
[Wang, Chunhua; Lin, Hairong; Wang, CH; Tang, Dong] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China.
[Yu, Fei] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.
通讯机构:
[Wang, CH ] H
Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China.
语种:
英文
关键词:
Locally active memristor;Hopfield neural network;Multi-scroll hyperchaotic hidden attractors;External stimulus;Hardware implementation
期刊:
Nonlinear Dynamics
ISSN:
0924-090X
年:
2024
卷:
112
期:
2
页码:
1511-1527
基金类别:
This work is supported by the National Natural Science Foundation of China (61971185, 62271197).
机构署名:
本校为其他机构
院系归属:
计算机与通信工程学院
摘要:
It is believed that local activation is the origin of all complexities, and the locally active memristive synaptic neural network can generate complex chaotic dynamic behaviors, such as hyperchaotic, multi-scroll, multi-stability and hidden dynamical behaviors. However, there are few studies on the simultaneous occurrence of multiple complex dynamic behaviors in neural networks. No chaotic system of multi-scroll hyperchaotic hidden attractors based on neural network has been found yet. To solve the problem, in this paper, we propose a new locally active memristive Hopfield neural network (HNN)...

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