DocumentCode
507818
Title
Chaotic Neural Network with Disturbance of Trigonometric Function
Author
Xu, Yao-qun ; Zheng, Xin
Author_Institution
Inst. of Syst. Eng. Harbin, Univ. of Commerce, Harbin, China
Volume
2
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
375
Lastpage
378
Abstract
In order to study the disturbance of chaotic neural network, the disturbance of trigonometric function was introduced into chaotic neural network and chaotic neural units with disturbance of trigonometric function were studied. The reversed bifurcation and the maximum Lyapunov exponent were given and the dynamic system was analyzed. Then it is applied in the function and combinatorial optimization problems. The simulation results show that the chaotic neural network with disturbance of trigonometric function can solve function and combinatorial optimization problems effectively, if the disturbance coefficient is controlled properly. Therefore the strong robustness and anti-interference ability are embodied in chaotic neural network.
Keywords
Lyapunov methods; bifurcation; chaos; combinatorial mathematics; neural nets; optimisation; chaotic neural network; combinatorial optimization problem; dynamic system; maximum Lyapunov exponent; reversed bifurcation; trigonometric function disturbance; Bifurcation; Business; Chaos; Computer networks; Electronic mail; Hopfield neural networks; Neural networks; Neurons; Robustness; Systems engineering and theory; TSP; chaotic neural network; disturbance of trigonometric function;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.627
Filename
5363276
Link To Document