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《Science Technology and Engineering》 2008-16
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Research for Selection of Kernel Functions Used in Support Vector Machine

ZHU Shu-xian,ZHANG Ren-jie(Collage of Op tical and Electronic Engineering,University of Shanghai for Science and Technology,Shanghai 200093,P.R.China)  
Support Vector Machines were developed in recent years,which base on statistical learning theory.They replace the experiential risk by structural risk,thus have a large advantage over the traditional neural network.In all research fields of the learning machines,the selection of kernel function is the most important problem.A reference for selecting the kernel function for SVM theoretically is given,through observing and computing the kernel matrix.
【CateGory Index】: TP301.6
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【References】
Chinese Journal Full-text Database 2 Hits
1 LIU Qiong-sun,DU Hui-feng College of Mathematics and Physics,Chongqing University,Chongqing 400030,China;Support vector machine classifier based on construction map[J];Computer Engineering and Applications;2009-27
2 QI Shuang-bin1,WANG Wei-qing2,ZHANG Xin-yan1(1.College of Electrical Engineering,Xinjiang Univ.,Urumqi 830008,China;2.Dept.of Science Research,Xinjiang Univ.,Urumqi 830008,China);Wind speed and wind power prediction based on SVM[J];East China Electric Power;2009-09
【Citations】
Chinese Journal Full-text Database 2 Hits
1 Liu Xiangdong, Luo Bin, and Chen Zhaoqian(State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093)(Department of Computer Science & Technology, Nanjing University, Nanjing 210093);Optimal Model Selection for Support Vector Machines[J];Journal of Computer Research and Development;2005-04
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【Co-references】
Chinese Journal Full-text Database 10 Hits
1 ;Multi-Sensor System Based On Information Interinfiltrate Technology[J];Sensor World;2002-08
2 SUN Fa-sheng,XIAO Huai-tie(School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China);A fast training algorithm for support vector machines based on K nearest neighbors[J];Electronics Optics & Control;2008-06
3 GU Xing-kai1,FAN Gao-feng2,WANG Xiao-rong2,ZHAO Hai-xiang2,DAI Hui-zhu2(1.Northeast China Grid Company Limited,Shenyang 110006,Liaoning Province,China;2.China Electric Power Research Institute,Haidian District,Beijing 100085,China);Summarization of Wind Power Prediction Technology[J];Power System Technology;2007-S2
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【Secondary Citations】
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1 DINNG Lei,TAO Liang (School of Computer Science and Technology,Anhui University, Hefei 230039, China);Applications of support vector machine in cholesterol measurements[J];Journal of Anhui University(Natural Sciences);2005-02
2 TIAN Sheng Feng and HUANG Hou Kuan(Department of Computer Science and Technology, Northern Jiaotong University, Beijing 100044);DATABASE LEARNING ALGORITHMS BASED ON SUPPORT VECTOR MACHINE[J];JOURNAL OF COMPUTER RESEARCH AND DEVELOPMENT;2000-01
3 LIU Xue-Jun, CHEN Song-Can, and PENG Hong-Jing (Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016);COMPUTER KEYSTROKER VERIFICATION BASED ON SUPPORT VECTOR MACHINES[J];Journal of Computer Research and Development;2002-09
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