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- W2363855351 abstract "A new support vector machine(SVM) model is proposed to classify power quality disturbances. The improved SVM method improves the speed of classification when SVM treats the large training set. Firstly,using rough set(RS) theory to eliminate redundant information of the large initial training set. Secondly,utilizing a probabilities function in SVM,training an initial classifier with a small training set and pruning the large training set with the initial classifier to obtain a small reduction set. Then,training with the reduction set,final classifier is obtained. Experiments show that this method effectively reduces the training set and improves the classification ability." @default.
- W2363855351 created "2016-06-24" @default.
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- W2363855351 date "2010-01-01" @default.
- W2363855351 modified "2023-09-25" @default.
- W2363855351 title "Classification method of power quality disturbances based on improved SVM model" @default.
- W2363855351 hasPublicationYear "2010" @default.
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