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
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;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
DOI :
10.1109/BMEI.2010.5639628
