Analysis of the Solution of Time-Varying Linear Equations Based on the Method of Neural Dynamics

被引：0
|
作者：
Liao, Wudai [1 ]
Zhou, Jun [1 ]
Liu, Zongsheng [1 ]
Feng, Haojie [1 ]
Jiao, Chaofan [1 ]
Zhang, Chaochuan [1 ]
机构：
[1] Zhongyuan Univ Technol, Sch Elect & Informat, Zhengzhou, Peoples R China
来源：
2020 12TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2020年
基金：
中国国家自然科学基金;
关键词：
activation function; time-varying problem; LaSalle theorem; Lyapunov theorem; Zhang neural dynamics; NETWORK; CONVERGENCE; DESIGN; ZNN;
D O I：
10.1109/icaci49185.2020.9177630
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the paper, in order to solve the time-varying linear equations, the authors have constructed the neurodynamics model, including the activation function, network parameters and the error function. The stability of the system constructed in the paper by using LaSalle theorem and Lyapunov theorem is analyzed. The model approaches are gradient neural dynamics and Zhang neural dynamics. In addition, the effectiveness of the results obtained in the paper is verified by the numerical simulation.
引用
收藏
页码：571 / 576
页数：6
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