An evaluation method of Web service quality based on SVM
Guangming Xian · Journal of Hubei University · 2012
SVM was a new kind of statically learning method,and it could decrease the function of major factor and increase the objectivity of the evaluation result.Aiming the web service quality,it proposed an evaluation model based on SVM.Firstly support vectors were selected from the learning samples and the optimal separating hyperplane was obtained by training.By the hyperplane,the new datas could be classified accurtely.Experimental results demonstrated that SVM was more accurate than the method of MPFS.