中国矿业大学主页平台系统 Zhu Song--Home-- Improve results on robustness analysis for connection weight matrices of global exponential stability of stochastic recurrent neural networks

Professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

E-Mail:

School/Department:China University of Mining and Technology

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Contact Information:songzhu@cumt.edu.cn; songzhu82@gmail.com

Degree:Doctor

Status:在岗

Alma Mater:Huazhong University of Science and Technology

Discipline:Statistics
Applied Mathematics
Probability and Mathematical Statistics
Operational Research and Cybernetics

Current position: Home > Scientific Research > Paper Publications

Improve results on robustness analysis for connection weight matrices of global exponential stability of stochastic recurrent neural networks

Release time:2021-09-29 Hits:

Affiliation of Author(s):数学学院

Funded by:国家自然科学基金项目

First Author:罗威威

Co-author:Zhu Song

Indexed by:会议论文

Document Code:paper_94343

Volume:1;1;

ISSN No.:无

Translation or Not:no

Date of Publication:2014-11-05