A Novel Chaotic Neural Network with Radial Basis Function and their Application to TSP

Nan Xu; Li Jie Liu; Yao Qun Xu

doi:10.4028/www.scientific.net/AMM.151.532

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 151A Novel Chaotic Neural Network with Radial Basis...

A Novel Chaotic Neural Network with Radial Basis Function and their Application to TSP

Abstract:

A novel transiently chaotic neural network with radial basis function is proposed by analyzing the capability of chaotic search and the effect in solving combinational optimization problem. The character of Radial basis function is higher nonlinear and better function approaching ability. So a novel transiently chaotic neural network is presented by transferring sigmoid activation function into non-monotonous activation function which is composed by Contrary Multiquadric function and Sigmoid. This network is used to solve Traveling Salesman Problem (TSP), and the simulation result indicates that it can avoid the limit of being trapped into the local minima and converge to the global minima with high speed.

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Periodical:

Applied Mechanics and Materials (Volume 151)

Pages:

532-536

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.151.532

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Online since:

January 2012

Authors:

Nan Xu, Li Jie Liu, Yao Qun Xu

Keywords:

Chaotic Neural Network, Radial Basis Function (RBF), TSP

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References

[1] Hopfield J., Tank D W.: Neural Computation of Decision in Optimization Problems. Biol. Cybern.Vol.52. (1985)141-152

DOI: 10.1007/bf00339943

Google Scholar

[2] CHEN L, AIHARA K. Chaotic simulated annealing by a neural network model with transient chaos [J]. Neural networks, 1995, 8(6): 915 - 930.

DOI: 10.1016/0893-6080(95)00033-v

Google Scholar

[3] Xu, Yaoqun; Yang, Xueling; Chaotic neural networks with sigmoid function self-feedback and its applications, 2010 6th International Conference on Natural Computation, ICNC 2010, v 3, pp.1605-1609

DOI: 10.1109/icnc.2010.5583758

Google Scholar

[4] A Potapove, M Kali. Robust chaos in neural networks. Physics Letters A, Vol 277, No.6:310-322, 2000.

Google Scholar

[5] Yao-qun Xu, Ming Sun, Jia-hai Zhang, A model of wavelet chaotic neural network with applications in optimization calculation,The 6th World Congress on Intelligent Control and Automation (WCI;CA2006),DaLian,2006.6:P3004-3009

DOI: 10.1109/wcica.2006.1712896

Google Scholar

[6] Lin Zhao, Ming Sun, JianHua Cheng and YaoQun Xu. A Novel Chaotic Neural Network With the Ability to Characterize Local Features and Its Application. IEEE Trans. on Neural Networks, Vol.20, No.4, 737-738, 2009.

DOI: 10.1109/tnn.2009.2015943

Google Scholar