Chaotic Neural Network with Trigonometric Function Self-feedback

被引：0
|
作者：
Xu, Yaoqun [1 ]
Xu, Nan [2 ]
Qiu, Zeguo [1 ]
机构：
[1] Harbin Univ Commerce, Inst Syst Engn, Harbin 150028, Peoples R China
[2] Harbin Univ Commerce, Sch Management, Harbin 150028, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
关键词：
Chaotic neural network; trigonometric function self-feedback; Lyapunov exponents; energy function; combinatorial optimization problems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new chaotic neural network is constructed by introducing trigonometric function into the self-feedback term of the transient chaotic neural network; By analyzing the inverse bifurcation graph and the maximum Lyapunov exponent of the single neuron, the chaotic dynamic characteristics of the network are analyzed; The energy function of the chaotic neural network is constructed. Its stability is analyzed and the condition of gradual stability of the network is given; The network parameters for solving the traveling salesman problem are set. The simulation results show that the new model can avoid local minima effectively and is effective for solving combinatorial optimization problems.
引用
收藏
页码：7396 / 7401
页数：6
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