Feature Selection Based on RS-PSO-SVM

A new RS-PSO-SVM feature selection combined Filter Rough Set attribute reduction with PSO-SVM was proposed. The specific steps of the new method were given, and the performance was analyzed contrasted with other two methods. Simulation experiments show that, the proposed feature selection method is effective which can reduce time consumed largely and ensure the selected feature set is the best. The proposed method can be used in the feature selection of multidimensional data.