Convergence analysis on inertial proportional delayed neural networks

Convergence analysis on inertial proportional delayed neural networks

Abstract This article mainly explores a class of inertial proportional delayed neural networks. Abstaining reduced order strategy, a novel approach involving differential inequality technique and Lyapunov function fashion is presented to open out that all solutions of the considered system with thei...

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Bibliographic Details
Main Authors: Hong Zhang, Chaofan Qian
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:Advances in Difference Equations
Subjects:
Inertial neural networks
Global convergence
Proportional delay
Non-reduced order strategy
Online Access:http://link.springer.com/article/10.1186/s13662-020-02737-3

Internet

http://link.springer.com/article/10.1186/s13662-020-02737-3

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