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原文传递 A New Feature Evaluation Algorithm and its Application to Fault of High-Speed Railway
题名: A New Feature Evaluation Algorithm and its Application to Fault of High-Speed Railway
正文语种: 中文
作者: U jing JIN Weidong CAI Zhen-zhen
作者单位: School of Electrical Engineering, Southwest Jiaotong University hengdu 610031
关键词: feature evaluating multi-criterion fusion D-S evidence theory evidence conflict theory fault classification
摘要:   Multi-criterion feature ranking algorithms not only alleviates the difficulty on choosing appropriate ranking criterion caused by single-ranking algorithms, but also improves the reliability of featmre ranking results.However, the issue of conflict between different single-ranking algorithms is often overlooked.By treating this task as a search and optimization process, it is possible to use the D-S theory and evidence conflict to reduce conflicts between different single-criterions and improve the stability of feature evaluation.This work presents a new multi-criterion feature ranking algorithm based on D-S theory and evidence conflict theory combining different criteria improving both classification performance and stability of feature selection results.Comparision between the new algorithm and Borda Cournt, Fuzzy Entropy, Fisher's Ratio and Representation Entropy methods are done on train fault dataset.The experimential results demonstrate most effectiveness of the new algorithm scheme than the other four criterions on all cases considered
会议日期: 201511
会议举办地点: 成都
会议名称: 2015第二届智能交通国际会议
出版日期: 2015-10-31
母体文献: 2015第二届智能交通国际会议论文集
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