Title :
Research about dynamics characteristic of chaos beuron
Author_Institution :
Electr. Inf. Eng. Inst., Beihua Univ., Jilin
Abstract :
Introduced the model of Sigmoid chaos neuron, and its necessary conditions of dynamics characteristics, such as Lyapunov exponent (LE), bifurcation and dissipative have been analyzed thoroughly. Under the sine driving, the evolution state of chaos neuron was analyzed through the simulation.
Keywords :
Lyapunov methods; neural nets; Lyapunov exponent; Sigmoid chaos neuron; bifurcation; dissipative; Analytical models; Automation; Bifurcation; Chaos; Information analysis; Intelligent control; Neurons; Lyapunov index; chaos neuron; diffusion; minute;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593996
