Title: Integration Algorithm Based on Genetic Algorithm,BP Neural Network and Multiple Regressions
Abstract:Genetic Algorithm,BP neural network and multiple regression are used widely in data mining algorithms,each of them have their benefits.Simultaneously,they have some inevitable flaws.On the basis of pr...Genetic Algorithm,BP neural network and multiple regression are used widely in data mining algorithms,each of them have their benefits.Simultaneously,they have some inevitable flaws.On the basis of previous three,I made some improvements in the structure of them.First,I propose a hybrid BP network based on the integration of BP Network and multiple regression models.Then I used the hybrid genetic algorithm to optimize the initial weights of hybrid BP network.In that way,I effectively avoid the inevitable flaws when they alone.Validation results show,in convergence speed accuracy and generalization ability,the model of new methods is better than Genetic Algorithm,BP neural network and multiple regressions.In addition,the model of new methods has significant improvements compared with ELM,SVRKM and SVM.Read More
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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