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The analysis of convergence of hybrid algorithm based on Neural Network and Genetic Algorithm

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2 Author(s)
Mei-Qin Pan ; College of Info. Science and Engi, Shan Dong University of Scienceand Technology, QingDao, 266510. E-mail: ; Guo-Ping He

This paper analyzes the advantages and disadvantages of GA and BP algorithms, and presents the iteration of hybrid algorithm based on both algorithms. The hybrid algorithm incorporates the stronger global search of GA into the stronger local search of BP, and can search out the global optimum faster than each algorithm. At last, the hybrid algorithm is proved converge to the global optimum with the probability of 1

Published in:

2005 International Conference on Neural Networks and Brain  (Volume:1 )

Date of Conference:

13-15 Oct. 2005