Title :
Research on Wavelet Chaotic Neural Network with Disturbance of Wavelet Function
Author :
Xu, Yao-qun ; Zheng, Xin ; Xin, Hai-Tao
Author_Institution :
Inst. of Syst. Eng., Harbin Univ. of Commerce, Harbin, China
Abstract :
This paper is concerned with the improvement of its internal state for wavelet chaotic neural network by introducing the disturbance of wavelet function. A new type of wavelet chaotic neural network model with disturbance of wavelet function is presented. Then it is applied in the function and combinatorial optimization problems. The simulation results show that the chaotic neural network with disturbance of wavelet function can solve function and combinatorial optimization problems effectively, if the disturbance coefficient is controlled properly. Therefore the very strong robustness and anti-interference ability are embodied in wavelet chaotic neural network.
Keywords :
chaos; combinatorial mathematics; neural nets; optimisation; wavelet transforms; combinatorial optimization problem; wavelet chaotic neural network; wavelet function disturbance coefficient; Business; Chaos; Computer networks; Damping; Electronic mail; Neural network hardware; Neural networks; Neurons; Robustness; Wavelet analysis; TSP; chaotic neural network; disturbance; wavelet function;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.438