Support Vector Machine(SVM),which is based on statistical learning theory,is oneof the standard tools for machine learning SVM can well resolve such problems asnonlinearity,high dimension and local minima,and used for limited or high dimensionsamples learning successfully.However,if the training set has fuzzy information orincluding some noizes,traditional SVM will become poor.Fuzzy Suppo~Vector Machine(FSVM)combines the fuzzy theories and SVM,exteding
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