Title: Hybrid learning algorithm for Pi-sigma neural network and analysis of its convergence
Abstract: This paper uses a hybrid genetic algorithm to training Pi-sigma neural network and this algorithm is once applied to resolve a function optimizing problem.The hybrid genetic algorithm incorporates the stronger global search of genetic algorithm into the stronger local search of simplex method,and can search out the global optimum faster than genetic algorithm.The experiments show that the hybrid genetic algorithm can achieve better performance.At last,the hybrid genetic algorithm is proved con- verge to the global optimum with the probability of 1.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
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