DocumentCode :
519373
Title :
Activation Function of Wavelet Chaotic Neural Networks
Author :
Zhang, Jia-hai ; Chen, Hai-Xia
Author_Institution :
Coll. of Electr. & Autom. Eng., Sanjing Univ., Nanjing, China
Volume :
1
fYear :
2010
fDate :
5-6 June 2010
Firstpage :
408
Lastpage :
411
Abstract :
Chaotic neural networks have been proved to be powerful tools for escaping from local minima. In this paper, we first review Chen´s chaotic neural network and then propose a novel chaotic neural network model. Second, we make an analysis of the most positive Lyapunov exponent of the neural units of Chen´s and the proposed model. Third, 10-city traveling salesman problem (TSP) is given to make a comparison between them. Finally we conclude that the novel chaotic neural network model we proposed is more valid.
Keywords :
Lyapunov matrix equations; neural nets; optimisation; Chens chaotic neural network; Chens neural units; Lyapunov exponent; TSP; traveling salesman problem; wavelet chaotic neural networks activation function; Automatic control; Chaos; Computer networks; Damping; Educational institutions; Neural networks; Neurons; Power engineering computing; Simulated annealing; Traveling salesman problems; Activation Function; Chaotic; Neural Networks; Wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
Type :
conf
DOI :
10.1109/CCIE.2010.108
Filename :
5492110
Link To Document :
بازگشت