Neighborhood based SVM multi-classification method for Condition Assessment of Insulator
Support vector machines (SVMs) are a class of popular classification algorithms for high generalization ability. However they mainly solve with twoclassification problem, while, in practice, there are lots of multi-classification problem still. Based on advantages and shortcomings of existing multiclassification, a kind of neighborhood based SVM multi-classification method is proposed in this paper. To classify Samples in K classes just need to construct K-1 SVM classifiers with this method. And classifiers at prediction stage are chosen according to neighborhood of test samples. By using neighborhood based SVM and pairwise SVM to train these five stages and forecast respectively, the usefulness of this multi-classification method and more efficient is proved. In addition, an insulator condition valuation model based on neighborhood is obtained.
support vector machine multi-classification neighborhood relation insulator condition assessment rough set
Nian Du Yongli Zhu
School of Control & Computer Engineering North China Electric Power University Baoding, China
国际会议
杭州
英文
690-693
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）