DocumentCode
3144181
Title
Bifurcation analysis in delayed feedback neural network and application of chaotic control
Author
Wang, Wenlong ; Zhang, Chunrui
Author_Institution
Dept. of Math., Northeast Forestry Univ., Harbin, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2896
Lastpage
2899
Abstract
Neural network system with delayed feedback is considered. By employing the polynomial theorem to analyze the distribution of the roots to the associated characteristic equation, the conditions of ensuring the existence of Hopf bifurcation are given. The application to chaotic control is investigated, and some numerical simulations are carried out to illustrate the obtained results.
Keywords
bifurcation; chaos; delays; feedback; neural nets; polynomials; Hopf bifurcation analysis; associated characteristic equation; chaotic control; delayed feedback neural network system; polynomial theorem; Bifurcation; Biological neural networks; Chaos; Delay; Forestry; Hopfield neural networks; Mathematical model; Delayed Feedback; Hopf Bifurcation; Neural Network Systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639628
Filename
5639628
Link To Document