期刊论文

Xu, Changjin

英文

Applied Mathematics and Computation

0096-3003

2019

361

565-582

10.1016/j.amc.2019.05.057

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61673008]; Project of High-level Innovative Talents of Guizhou Province [[2016]5651]; Major Research Project of The Innovation Group of The Education Department of Guizhou Province [[2017]039]; Project of Key Laboratory of Guizhou Province with Financial and Physical Features [[2017]004]; Foundation of Science and Technology of Guizhou Province [[2018]1025, [2018]1020]; Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering (Changsha University of Science Technology) [2018MMAEZD21]; Innovative Exploration Project of Guizhou University of Finance and Economics [[2017]5736-015]

本校为其他机构

In this article, on the basis of predecessors, works, we will propose a new fractional-order neural network model with multiple delays. Letting two different delays be bifurcation parameters and analyzing the corresponding characteristic equations of considered model, we will establish a set of new sufficient criteria to guarantee the stability and the appearance of Hopf bifurcation of fractional-order network model with multiple delays. The impact of two different delays on the stability behavior and the emergence of Hopf bifurcation of involved network model is revealed. The influence of the...