Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Beijing Biomedical Engineering》 2007-04
Add to Favorite Get Latest Update

High-dimensional EEG features selection based on random forests algorithm

LI Fei,GAO Xiaorong,GAO Shangkai Department of Biomedical Engineering,Tsinghua University,Beijing 100084  
EEG features classification is one of the most important tasks in the research on brain-computer interface.There are more and more feature extraction methods to extract lots of information from the mult-channel EEG signal.In this paper,Random forests algorithm is used to analyze the high-dimensional EEG features from the motor imagery experiment.An effective features selection method based on the times that features were used in the growing process of random trees is proposed.The method enhances the accuracy and speed of classification.Also it is used to select EEG leads in EEG classification.
【Fund】: 北京市自然科学基金(30051001);; 863项目(2006AA01Z134)资助
【CateGory Index】: R318
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 1 Hits
1 Liu Qin;Machine Learning[J];Journal of Wuhan Engineering Institute;2001-02
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 PAN Xi-jiao(Dept.of Automobile and Machinery Engineering,Anhui College of Vocational Technology of Communications,Hefei 230051,China);Artificial neural network ensemble based on multi-sub-swarm particle swarm optimization[J];Journal of Anhui Institute of Architecture & Industry(Natural Science);2007-02
2 LI Ting et al (Zhongshan Torch Vocational College,Zhongshan,Guangdong 528436);Study on the Early Warning Model of Phyllotreta striolata Based on the Maximum Likelihood Integration[J];Journal of Anhui Agricultural Sciences;2008-25
3 SHI Lei et al(College of Information and Management Science,Henan Agricultural University,Zhengzhou,Henan 450002);Application of Ensemble Learning Technique in Agriculture[J];Journal of Anhui Agricultural Sciences;2008-26
4 XU Gao-cheng et al(College of Environment and Resource College,Southwest Science and Technology University,Mianyang,Sichuan 621010);Application of Supporting Vector Machine Technology in Extraction of Remote Sensing Image of Landslide[J];Journal of Anhui Agricultural Sciences;2009-06
5 GAO Chuang1,WANG Li-dong1,ZHOU Shi-yu2(1.School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China;2.AnGang Group New Hot-Rolled Co Ltd Hot-Rolled Strip Plaint,Anshan 114051,China);Classification of cervical cancer cell based on support vector machine and its application[J];Journal of University of Science and Technology Liaoning;2009-03
6 WANG Ting-hua,TIAN Sheng-feng,HUANG Hou-kuan,LIAO Nian-dong(School of Computer and Information Technology,Beijing Jiaotong University, Beijing 100044,China);Support Vector Machine Based on Weightiness of Sample Attribute[J];Journal of Beijing Jiaotong University;2007-05
7 WANG ZiQiang DUAN AiLing ZHANG DeXian (School of Information Science and Engineering,Henan University of Technology,Zhengzhou Henan 450001,China);A support vector data description algorithm based on an adaptive kernel function[J];Journal of Beijing University of Chemical Technology(Natural Science Edition);2008-02
8 CAI Chun~1,DENG Nai-yang~2(1.College of Arts and Science of Beijing Union University,Beijing 100083,China;2.College of Science,China Agricultural University,Beijing 100085,China);The Unique of Threshold for Support Vector Classifiers[J];Journal of Beijing Union University(Natural Sciences);2007-02
9 KONG Na JIA Wenyan MA Jun GAO Xiaorong GAO Shangkai School of Medicine,Tsinghua University,Beijing 100084;Study on seizure prediction by analyzing the EEG of epileptic rats[J];Beijing Biomedical Engineering;2007-02
10 CHEN Jianxin1,2 XI Guangcheng1,WANG Wei2,ZHAO Huihui2,CHEN Jing1 1 Key Laboratory of Complex Systems and Intelligence ScienceInstitute of Automation,Chinese Academy of Sciences,Beijing 100080;2 Beijing University of Chinese Medicine,Beijing 100029;A comparison study of data mining algorithms in CHD clinical application[J];Beijing Biomedical Engineering;2008-03
China Proceedings of conference Full-text Database 10 Hits
1 Qingkun Liu~([1]) Peiwen Que~([1]) Chunguo Fei~([2]) Shoupeng Song~([1]) ([1]Institute of Automatic Detection,Shanghai Jiaotong University,Shanghai,200030,China [2] Department of Automation,Intelligent Engineering Laboratory,Shanghai Jiaotong University,Shanghai,China,200030);Ultrasonic Flaw Classification in Seafloor Petroleum Transferring Pipeline through Chaotic Optimization and Support Vector Machine[A];[C];2005
2 LI Yawei~a CHEN Shouyu~a XU Dawei~b a School of Civil and Hydraulic Engineering; b 21~(st) Century Development Research Center Dalian University of Technology,Dalian 116024,China;The Support Vector Machine Technique for Concrete Adherence Strength Prediction[A];[C];2005
3 Qiao Li-yan Ma Yun-tong Peng Xi-yuan Department of Automatic Test and Measurement,Harbin Institute of Technology Harbin,Xidazhijie ST 92,P.R.China.;GA-SVM Wrapper for Feature Selection[A];[C];2005
4 Sha Yun 1) Yang Yong 2) Zhang Guo-ying 1) 1)(Department of Computer Science,Beijing Institute of Petro Chemical Technology,Beijing 102617) 2)(Department of Computer Science,Chang Chun Institute of Technology,Changchun 130025);A Road Detection Algorithm Based on EF-boosting[A];[C];2007
5 HUANG Ling,ZHANG Ai-hua LANZHOU Univ.of Tech.Lanzhou,730050,China;Application of Decision Tree SVMs Based on Class Distribution to Mental Tasks Recognition[A];[C];2007
6 Guo Feng Liu Lili L ü Ning (College of Computer Science and Engineering,Chang Chun University of Technology,Chang Chun,130012,China);Face Recognition Based on LLE and SVM[A];[C];2008
7 Ye Man Zhao Zhigang Lv Huixian College of Information Engineering,Qingdao University,Qingdao266071,China;An improved algorithm based on transforming a multi-class problem to one two-class problem[A];[C];2008
8 Yang Kuihe Niu Xingxia College of Information Science and Engineering,Hebei University of Science and Technology,China No.505,Xinhua Road,Shijiazhuang 050054,China;Application of Support Vector Machine for Vehicle Recognition[A];[C];2006
9 LIU Ming-gui PENG Jun-wei (Institute of Rock and Soil Mechanics,Chinese Academy of Sciences,Wuhan,430071);The Application of Genetic Algorithm and Support Vector Machine to Low Strain Integrity Testing of Foundation piles[A];[C];2007
10 Xueqin Zhang,Chunhua Gu College of information science and Engineering,East China University of science and technology Shanghai,200237,China;FS-SVM Based Intrusion Detection Feature Selection and classification[A];[C];2006
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 SHEN A-qiang Institute of Continuing Education,BUPT,Beijing 100876,China JI Ting China Telecom Beijing Research Institute,Beijing 100035,China LOU Jian Beijing Dunbang Research Company,Beijing 100023,China;A study of telecommunication customer loyalty based on PLS-SEM[J];Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition);2007-04
2 LIANG Li-Ming~1 WENG Fa-lu~1 DING Yuan-chun~2 (1.Logistics Administrative Office,Jiangxi University of Science and Technology,Canzhou,341000,China;2.School of Environmental and Architecture Engineering,Jiangxi University of Science and Technology,Ganzhou,341000,China);The Research on the Model of Customer Loss Based on Neural Network[J];Commercial Research;2007-02
3 Guo Wei-gang,BAO Fan-biao(Zhejiang Trade and Economics Polytechnic Institute,Hangzhou 310018,China);The Value Analysis and Incentive Mode of Customer Loyalty Theory[J];Commercial Research;2007-03
4 HUA Xiaopeng1,WANG Huan2,LAN Shaohua2(1.YanCheng Institute of Technology,YanCheng 224003;2.NanJing University of Science and Technology,NanJing 210094);Intrusion Detection Based on Boosting Algorithm[J];Journal of Changchun University of Science and Technology(Natural Science Edition);2007-03
5 ;The Summary Of The Date Mining technology[J];Microcomputer Application Technology;2007-02
6 CUI Li-juan1,LI Kai2,NI Zhi-hong3 (1.Library,Hebei University,Baoding 071002,China;2.School of Mathematics and Computer,Hebei University,Baoding 071002,China; 3.Computer Center,Hebei University,Baoding 071002,China);A Study of Ensemble Learning Algorithm for Classification[J];Journal of Hebei University(Natural Science Edition);2007-04
7 XU Jun (Dept.of Computer Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 210013,China);The Study of the Discretization Method in Decision Tree[J];Journal of Hebei Institute of Technology;2007-02
8 SHENG Zhao-han~1,  LIU Bing-xiang~2 1. School of Management and Engineering, Nanjing University, Nanjing 210093, China; 2. School of Economic and Management, Southeast University, Nanjing 210018, China;Research method of custom forfeit crisis based on decision tree[J];Journal of Management Sciences in China;2005-02
9 TANG Zhi-kang,WANG Wei-zhi,TAN Wei-xin(Institute of Automation,Fuzhou University,Fuzhou 350002,China);Study on Congestion Prediction Based on Bagging Arithmetic[J];Journal of Jimei University(Natural Science);2006-02
10 TU Cheng-Sheng~(1,2) LU Yu-Chang~2 (Dept. of Computer Science,Chong Qing Three Gorges College,ChongQing 404000)~1 (Computer Science and Technology Dept.,Tsing Hua University The State Key Laboratory of Intelligent Technology and System,Beijing 100084)~2;The Theory Base of Boosting[J];Computer Science;2004-10
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved