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- W2361668823 abstract "A mixed algorithm based on attribute reduction of Rough Sets(RS) and classification principles of Support Vector Machine(SVM) is researched in this paper.Firstly,the attribute reduction of RS has been applied as preprocessor so that the redundant attributes,values and conflicting objects can be deleted from decision table but the efficient information remains lossless.For the unclassifiable regions existing in the problem of multiclass with SVM,fuzzy SVM is applied to settle this problem and be used in the succedent classification and forecast,which makes the training time reduced and classification performance enhanced greatly.The mixed method is used for radar signal recognition in this paper,simulation experiments and their results show this method is effective." @default.
- W2361668823 created "2016-06-24" @default.
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- W2361668823 date "2010-01-01" @default.
- W2361668823 modified "2023-09-23" @default.
- W2361668823 title "A Radar Signal Recognition Algorithm based on Rough Sets and Fuzzy Support Vector Machine" @default.
- W2361668823 hasPublicationYear "2010" @default.
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