DocumentCode
3047372
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
Volume
4
fYear
2009
fDate
19-21 May 2009
Firstpage
146
Lastpage
150
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.438
Filename
5209315
Link To Document