Title: Parameter Optimization of RBF Neural Network Based on Genetic and Simulated Annealing Algorithm
Abstract: In the paper a new genetic optimization algorithm, which is based on simulated annealing algorithm, is put forward and parameters of RBF network are optimized. In this new genetic optimization algorithm real number coding and multi-location crossover are used ,and the mutation range is given by random .To prove the right of the new algorithm, two experiments are done in MATLAB. One experiment is the forecast of chaos sequence and the other is the removing of noise data in digital image .The results of the two experiments proves: the new genetic algorithm is right and the error of the network is less than the error in traditionally designed RBF network.
Publication Year: 2005
Publication Date: 2005-01-01
Language: en
Type: article
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