Hopf bifurcation in a single inertial neuron model with a discrete delay

被引：0
|
作者：
Li, SW [1 ]
Li, SR
机构：
[1] SW Univ Finance & Econ, Dept Math, Chengdu 610074, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Sichuan, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Optoelect Informat, Chengdu 610054, Sichuan, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS | 2005年 / 3496卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a single inertial neuron system with distributed delays for the weak kernel is investigated. By applying the frequency domain approach, the existence of bifurcation parameter point is determined. The direction and stability of the bifurcating periodic solutions are determined by the Nyquist criterion and the graphical Hopf bifurcation theorem. Some numerical simulations for justifying the theoretical analysis are also given.
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页码：327 / 333
页数：7
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