Electromagnetism-Like Mechanism Based Algorithm for Neural Network Training

Authors:
Xiao-Juan Wang;Liang Gao;Chao-Yong Zhang
Affiliations:
State Key Laboratory of Digital Manufacturing Equipment and Technology Department of Industrial & Manufacturing Systems Engineering, Huazhong Univ.of Sci. & Tech., Wuhan, China 430074;State Key Laboratory of Digital Manufacturing Equipment and Technology Department of Industrial & Manufacturing Systems Engineering, Huazhong Univ.of Sci. & Tech., Wuhan, China 430074;State Key Laboratory of Digital Manufacturing Equipment and Technology Department of Industrial & Manufacturing Systems Engineering, Huazhong Univ.of Sci. & Tech., Wuhan, China 430074
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

Citing 2
Cited 1

Toward global optimization of neural networks: a comparison of the genetic algorithm and backpropagation

Decision Support Systems
An Electromagnetism-like Mechanism for Global Optimization

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Applying electromagnetism-like mechanism for feature selection

Information Sciences: an International Journal

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Abstract

Due to the complex nature of training neural network (NN), this problem has gained popularity in the nonlinear optimization field. In order to avoid falling into local minimum because of inappropriate initial weights, a number of global search techniques are developed. This paper applies a novel global algorithm, which is electromagnetism-like mechanism (EM) algorithm, to train NN and the EM based algorithm for neural network training is presented. The performance of the proposed algorithm is evaluated in classification problems and the comparison with BP and GA algorithms shows its effectiveness.