Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Computer Aided Engineering》 2006-01
Add to Favorite Get Latest Update

Improved weighted support vector regression

LI Zhonghao, WANG Yu (School of Management, Dalian Univ. of Tech., Dalian Liaoning 116024, China)  
The disadvantage and insufficiency of the existing methods of support vector regression (SVM) are analyzed. An improved weighted support vector regression and its Wolfe Dual is presented. The convex functions and its reformation depending on the various types of the kernel function are introduced to decrease the limitation of the kernel function. It is helpful to get more effective in searching flexible regression function. The generalization of the support vector regression model, the optimization of the generalization capacity, and the training speed are discussed.
【CateGory Index】: TP181
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 2 Hits
1 YAN Man-fu~(1,2),TIAN Ying-jie~1 (1. College of Economics and Management, China Agriculture University,Beijing 100083,China; 2. Dept.of Math.,Tangshan Teachers College,Tangshan 063000,China);The Improvement of Support Vector Regression[J];Systems Engineering;2004-10
2 WANG Xiao-dan, WANG Ji-qin (The Missile Institute, Air Force Engineering University, Sanyuan, Shaanxi 713800, China);Research and Application of Support Vector Machine[J];Journal of Air Force Engineering University(Natural Science Edition);2004-03
China Proceedings of conference Full-text Database 1 Hits
1 Donghui Li Shuxin Du Tiejun Wu National Laboratory of Industrial Control Technology,Zhejiang University,Hangzhou 310027;A Weighted Support Vector Machine Method and its Application[A];[C];2004
Chinese Journal Full-text Database 10 Hits
1 Han Quandong,Hu Xiaoping(College of Aerospace and Material Engineering,National University of Defense Technology,Changsha,410073);Application of Support Vector Machine in Steady State Fault Detection and Diagnosis of Liquid-propellant Rocket Engine[J];Missiles and Space Vehicles;2007-04
2 WANG Xiao-feng1,QIN Yu-ping2(1.Department of Mathematics,Bohai University,Jinzhou 121013,China;2.College of Information Science and Engineering,Bohai University,Jinzhou 121013,China);Multi-sort classification of web page on SVM[J];Journal of Dalian Institute of Light Industry;2007-04
3 XU Qi-hua~1,SHI Jun~2(1.Electronic Engineering Department,Huaihai Institute of Technology,Lianyungang 222005,China)(2.College of Automatic Control,Northwestern Polytechnical University,Xi′an 710072,China);Some Studies in Aero-engine Fault Diagnosis Using Support Vector Machines[J];Acta Aeronautica Et Astronautica Sinica;2005-06
4 GUAN Jun,XU Li-zhong,SHI Ai-ye(College of Computer & Information Engineering,Hehai University,Nanjing Jiangsu 210098,China);Assessment Method of Water Quality of Monitoring Data Based on Support Vector Machine[J];Application Research of Computers;2006-09
5 TAO Xiao-yan, ZHAO Qiao-xia, FU Yan-jun (The Telecommunication Engineering Institute, Air Force Engineering University, Xi'an, Shaanxi 710077, China);Face Recognition Based on DCT and Support Vector Machines[J];Journal of Air Force Engineering University(Natural Science Edition);2005-02
6 SHI Zhao-hui,WANG Xiao-dan,ZHAO Shi-min,YANG Jian-xun(The Missile Institute,Air Force Engineering University,Sanyuan,Shaanxi 713800,China);An Improved Algorithm for SVM Decision Tree[J];Journal of Air Force Engineering University(Natural Science Edition);2006-02
7 WANG Xiao-dan~1,SUN Dong-yan~(1,2),ZHENG Chun-ying~1,ZHANG Hong-da~1,ZHAO Xue-jun(1.The Missile Institute,Air Force Engineering University,Sanyuan 713800,Shaanxi,China;2.School of Electronic Engineering,Xidian University,Xi′an 710071,Shaanxi,China);A Combined SVM Classifier Based on AdaBoost[J];Journal of Air Force Engineering University(Natural Science Edition);2006-06
8 XU Hai-long,WANG Xiao-dan,SHI Zhao-hui,HUA JI-xue,Quan Wen(Missile Institute,Air Force Engineering University,Sanyuan 713800,Shaanxi,China);An Incremental Training Algorithm of SVM Based on the Distance Ratio[J];Journal of Air Force Engineering University(Natural Science Edition);2008-04
9 ZHANG Jian-ming,FANG Fang,CHEN Li,YANG Feng-qing,LIU Xiao(School of Computer Science & Telecommunication Engineering,Jiangsu University,Zhenjiang Jiangsu 212013,China);Age estimation based on selected local binary and weighted support vector machine[J];Application Research of Computers;2010-01
10 XU Hong-min1,2,WANG Ji-guang31.College of Geoexploration and Information Technology,Jilin University,Changchun 130026,China;2.Department of Mathematics & Physics,Beijing Institute of Petrochemical Technology,Beijing 102617,China;3.Geological Survey Institute of Shandoug Province,Jinan 250013,China;Weighted support vector machine for regression and its application for prediction of water quality[J];Global Geology;2007-01
China Proceedings of conference Full-text Database 1 Hits
1 ;Application of Decision Tree and SVM Methods in Fault Diagnosis of Liquid Rocket Engine[A];[C];2006
【Secondary Citations】
Chinese Journal Full-text Database 4 Hits
1 LI Xiao Li LIU Ji Min SHI Zhong Zhi (Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080);A Chinese Web Page Classifier Based on Support Vector Machine and Unsupervised Clustering[J];Chinese Journal of Computers;2001-01
2 ZHANG Wen sheng,\ DING Hui,\ WANG Jue(Institute of Automation, The Chinese Academy of Sciences, Beijing 100080, China);Study on Computing the Support Vectors of Massive Data Based on Neighborhood Principle[J];Journal of Software;2001-05
3 XIAO Rong, WANG Ji-cheng, SUN Zheng-xing, ZHANG Fu-yan(State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China);=(Institute of Multimedia Computing Technology, Nanjing University, Nanjing 210093, China);An Incremental SVM Learning Algorithm α-ISVM[J];Journal of Software;2001-12
4 DU Shu-xin, WU Tie-jun of Intelligent Systems and Decision Making, Zhejiang University, Hangzhou 310027, China);Support vector machines for pattern recognition[J];Journal of Zhejiang University(Engineering Science);2003-05
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved