一种基于RS和SVM的目标对象的性能分类方法

Object's Performance Classification Based on RS and SVM

提出了一种基于粗糙集(RS)和支持向量机(SVM)的目标对象的性能分类方法,该方法将RS和SVM结合在一起对性能进行分类.在分类之前,首先利用RS对属性进行约简,将约简后的属性作为输入端输入到SVM中进行训练,再用训练好的SVM对测试集进行测试.测试结果表明,该方法分类的精度比较高,速度比较快.

A method of object's performance classification based on Rough Set(RS) and Support Vector Machines(SVM) was proposed and it classifies the object's performance by composing the RS and SVM.Before classification we use the RS to reduce the attributes of the object,then train the SVM by sending the reduced attributes as the input and finally verify the test data with the trained SVM.The test results show that the accuracy of the method is quite high,and the speed is very fast.