中国矿业大学主页平台系统 Zhu Song--Home-- Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method

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

Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method

Release time:2024-11-01 Hits:

DOI number:10.1016/j.neunet.2024.106545

Affiliation of Author(s):数学学院

Funded by:国家自然科学基金项目

First Author:Jiang, Yuxin

Co-author:Zhu Song,Liu, Xiaoyang,Wen, Shiping,Mu, Chaoxu

Indexed by:Journal paper

Document Code:5b5bb29492b875130192bc2f25991a43

Volume:v 178,

ISSN No.:08936080

Translation or Not:no

Date of Publication:2024-10-01