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- W2354179634 abstract "Aiming at the problem of feature selection in SVM training process,a new feature selection method for SVM(Support Vector Machine)based on evolutionary computing method is proposed.For the new method,two typical evolutionary computing methods: genetic algorithm(GA) and particle swarm optimal(PSO) algorithm are adopted to select the optimal feature subset for SVM.Practical performance of these two algorithms are compared through the simulation experiments on several UCI benchmark dataset,the simulation results demonstrate the validity of the proposed method." @default.
- W2354179634 created "2016-06-24" @default.
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- W2354179634 date "2008-01-01" @default.
- W2354179634 modified "2023-09-24" @default.
- W2354179634 title "Feature Selection for SVM with Evolutionary Computing Method" @default.
- W2354179634 hasPublicationYear "2008" @default.
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