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《Earthquake Research in China》 2006-03
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The Support Vector Machine Method and Its Elementary Applications to Synthetic Earthquake Prediction

Jiang Chun 1) Wei Xueli 2) Lu Yuanzhong 3) You Dexiang 3) 1) Tianjin Seismological Bureau,Tianjin 300201,China2) Tianjin University of Technology,Tianjin 300191,China3) Institute of Crustal Stress,China Seismological Bureau,Bejing 100085,China  
The statistical study theory is a theory that getting off a machine learning rule specially for the small sample situation.The support vector machine study method developing from the theory can solve small sample,non-linearity,high dimension,partial minimum point actual problems well,and obtained the widespread application in function approached,pattern recognition,signal processing,time series analysis,forecast and so on. This article will introduce the support vector machine method into the field of non-linear characteristic,complex earthquake gestation system and earthquake forecasts.An example,taking the North China area(30°~42°E,108°~125°N),Excavates the more effective earthquakes information based on the seismicity parameter research from the limited earthquake sample,the exploration earthquake synthesizes the forecast the new way.
【Fund】: 地震科学联合基金(104005、103082)资助项目。
【CateGory Index】: P315.75
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【References】
Chinese Journal Full-text Database 2 Hits
1 Chun Jiang 1, Xueli Wei 2 Xiaofeng Cui 1 and Dexiang You 2 1 Earthquake Administration of Tianjin Municipality, Tianjin 300201, China 2 Tianjin University of Technology, Tianjin 300191, China;Application of support vector machine to synthetic earthquake prediction[J];地震学报(英文版);2009-03
2 YANG Liu(Earthquake Administration of Tianjin,Tianjin 300201,China);An Application of Support Vector Machine Method to Short-term Earthquake Predication[J];North China Earthquake Sciences;2010-03
【Citations】
Chinese Journal Full-text Database 8 Hits
1 Feng Deyi Jiang Chun (Seismological Bureau of Tianjin) Wang Dexin (Tianjin University) Tian Shan Zheng Ximing (Seismological Bureau of Tianjin);PRELIMINARY APPLICATION OF NEURAL NETWORK METHOD IN EARTHQUAKE PREDICTION RESEARCH[J];Earthquake;1994-04
2 WANG Wei~1,LIU Yue~2,LI Guo-zheng~2,WU Geng-feng~2LIN Ming-zhou~1,MA Qin-zhong~1,ZHAO Li-fei~1(1.Earthquake Administration!of Shanghai Municipality,Shanghai 200062;2.School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China);The support vector machine method for time sequence forecasting of strong earthquakes in China′s mainland[J];Earthquake;2005-04
3 Wang Wei~ 1) Liu Yue~ 2) Li Guozheng~ 2) Wu Gengfeng~ 2) Ma Qinzhong~ 1) Zhao Lifei~ 1) Lin Mingzhou~ 1) [BT)]1) Earthquake Administration of Shanghai Municipality, Shanghai 200062, China 2) School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China;SUPPORT VECTOR MACHINE METHOD FOR FORECASTING FUTURE STRONG EARTH-QUAKES IN CHINESE MAINLAND[J];Acta Seismologica Sinica;2006-01
4 CHEN Yong-yi(Training Center,China Meteorological Administration, Beijing 100081China);Support Vector Machine and Fuzzy Systems[J];Fuzzy Systems and Mathematics;2005-01
5 WANG Jinglei1, WU Jingshe1, SUN Jingsheng1,QI Xuebin1(1.Farmland Irrigation Research Institute,MWR,Xinxiang,Henan453003,China);Application of support vector machine method in prediction of groundwater level[J];Journal of Hydraulic Engineering;2003-05
6 Jiang Chun Tian Shan Chen Huaran Wang Jianguo Feng Deyi (Tianjin Seismological Bureau, 300201);Matter element Model of Multi factorial Evaluation and Its Application to Earthquake Prediction[J];SYSTEMS ENGINEERING-THEORY & PRACTICE;1998-01
7 Li Zhixiong Shen Fanluan Yuan Xiwen Fu GanEarthquake Administration of Hainan Province,Haikou 570203,China;Forecasting of Annual Maximum Earthquakes in the South China Seismic Area Based on Wavelet Transform and Least Squares Support Vector Machine[J];Earthquake Research in China;2006-02
8 Jiang Ckun; Feug Deyi(Seismological Bureau of Tianjin, Tianjin 300201, China)Wang Dexin(Tianjin University, Tianjin 300027, China)Tian Scan; Zkeng Ximing(Seismological Bureau of Tianjin, Tianjin 300201, China);Some Application of Neural Network Model to Earthquake Prediction[J];EARTHQUAKE RESEARCH IN CHINA;1994-03
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 ZHANG Guo-min,REN Jin-wei,MA Hong-sheng(Institute of Earthquake Prediction,CEA,Beijing 100036,China);PROSPECT ON THE DEVELOPMENT OFEARTHQUAKE PREDICTION RESEARCH[J];Seismological Research of Northeast China;2006-04
2 Shi Chenggang Liu Xila(Department of Civil Engineering, Tsinghua University);APPLICATION OF NEURAL NETWORK TO EARTHQUAKE ENGINEERING[J];Earthquake Engineering and Engineering Vibration;1991-02
3 Li Wenying (Seismological Bureau of Hebei Province)Wu Guoyou(Seismological Bureau of Tianjin)Zhang Qingrong(Seismological Bureau of Ilebci Province);APPLICATION OF MULTILEVEL FUZZY SYNTHETIC DECI-SION TO EARTHQUAKE SYNTHETIC PREDICTION[J];Earthquake;1990-01
4 Chen Qifu Ma Li(Center for Analysis and Production, SSB);METHOD OF PROBABILITY JUDGEMENT FOR COMPREHEN-SIVE ANALYSIS AND PREDICTION OF EARTHQUAKES[J];Earthquake;1990-03
5 Zhang Guomin(Center for Analysis and Prediction, SSB);SOME PROGRESS IN COMPREHENSIVE EARTHQUAKE PREDICTION AND PROSPECTS[J];Earthquake;1990-05
6 Feng Deyi Jiang Chun (Seismological Bureau of Tianjin) Wang Dexin (Tianjin University) Tian Shan Zheng Ximing (Seismological Bureau of Tianjin);PRELIMINARY APPLICATION OF NEURAL NETWORK METHOD IN EARTHQUAKE PREDICTION RESEARCH[J];Earthquake;1994-04
7 Li Dongsheng Wang Wei(Seismological Bureau of Anhui Province)Huang Bingshu( Material Institute of Shanghai);APPLICATION OF ARTIFICIAL NEURAL NETWORK TO EARTHQUAKE PREDICTION[J];Earthquake;1995-04
8 Du Xingxin(Seismological Bureau of Shanxi Province, Xi'an 710068, China);WAVELET-BASED ANALYSIS OF DYNAMIC SEISMICITY PERIOD[J];EARTHQUAKE;1997-03
9 Zhang Liren (Center for Analysis and Prediction, CSB, Beijing 100036, China);ASSESSMENT OF PROBABILITY GAINS OF PREDICTION METHODS IN MEDlUM AND LONG-TERM EARTHQUAKE PREDICTION[J];EARTHQUAKE;1998-04
10 Wang Xiaoqing;Shi Shaoxian;Ding Xiang(Center for Analysis and Prediction, CSB, Beijing 100036, China)(Seismological Bureau of Yunnan Province, Kunming 650041, China);BAYES DISCRIMINANT ANALYSIS AND ITS APPLICATION TO SHORT AND IMMINENT EARTHQUAKE PREDICTION[J];EARTHQUAKE;1999-01
【Secondary References】
Chinese Journal Full-text Database 10 Hits
1 Liu Xingjie1 Mi Zengqiang1 Yang Qixun1 Fan Xiaowei2 (1. North China Electrical Power University Baoding 071003 China 2. Chengde Power Supply Corporation Chengde 067000 China);A Novel Multi-Step Prediction for Wind Speed Based on EMD[J];Transactions of China Electrotechnical Society;2010-04
2 WANG Caixia,LU Zongxiang,QIAO Ying,MIN Yong,ZHOU Shuangxi(State Key Lab of Power Systems,Department of Electrical Engineering,Tsinghua University,Beijing 100084,China);Short-term Wind Power Forecast Based on Non-parametric Regression Model[J];Automation of Electric Power Systems;2010-16
3 YANG Xi-yun,SUN Han-mo(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China);Wind Speed Prediction in Wind Farms Based on Time Series Model[J];Journal of Chinese Society of Power Engineering;2011-03
4 PENG Hu,GUO Yufeng,WANG Songyan,YU Jilai(School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,Heilongjiang Province,China);Pattern Analysis on Characteristics of Wind Speed Distribution in Wind Farms[J];Power System Technology;2010-09
5 YANG Zhiling,LIU Yongqian(North China Electric Power University,Changping District,Beijing 102206,China);Short-Term Wind Power Prediction With Particle Swarm Optimization[J];Power System Technology;2011-05
6 SHI Hongtao1,YANG Jingling1,DING Maosheng2,WANG Jinmei3 (1.Beifang University of Nationality,Yinchuan 750021,China;2.Ningxia Electric Power Company,Yinchuan 750021,China;3.Ningxia University,Yinchuan 750021,China);A Short-term Wind Power Prediction Method Based on Wavelet Decomposition and BP Neural Network[J];Automation of Electric Power Systems;2011-16
7 SHI Qinghua1,GAO Shan2,CHEN Hao2,3(1.Rizhao Juxian Power Supply Company,Shandong Electric Power Corporation,Rizhao 276500,China; 2.Southeast University,Nanjing 210096,China;3.Jiangsu Nanjing Power Supply Company,Nanjing 210008,China);Comparison Study on Two Wind Power Forecasting Models[J];Energy Technology and Economics;2011-06
8 WANG Jian~(1,2),YAN Gan-gui~1,SONG Wei~1,MU Gang~1 (1.Electrical Engineering College,Northeast Dianli University,Jilin Jilin 132012;2.School of Electrical and Electronic Engineering, North China Electric Power University,Beijing 102206);Review of Wind Power Prediction[J];Journal of Northeast Dianli University;2011-03
9 ZOU Jianxiao1,LI Dan1,ZHENG Gang1,ZENG Bin2,PENG Chao1 (1.University of Electronic Science and Technology of China,Chengdu 611731,China;2.Sichuan Dongfang Electric Autocontrol Engineering Co.Ltd.,Deyang 618000,China);An Active Power Control Scheme for Wind Farms Based on State Classification Algorithm[J];Automation of Electric Power Systems;2011-24
10 ZHANG Tiejun1,ZHU Rong2,LI Zhaorong1,LI Xiaoxia3,FU Jing1(1.Lanzhou Central Meteorological Observatory,Lanzhou 730020,China;2.The National Climate Center, Beijing 10008,China;3.Northwest Regional Climate Center,Lanzhou 730020,China);Wind Power Forecast Based on the Mesoscale Model and Diagnosis Wind Field Model[J];Journal of Arid Meteorology;2011-04
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 FU Zheng-xiang~1,SHAO Hui-cheng~(2,3),DING Xiang~1 (1.Center for Analysis and Prediction; CEA; Beijing 100036; 2.Earthquake Administration of Shanxi Province, Xi′an 710068; 3.department of Mechanical Engineering, Xi′an 710072, China);Relation between distribution of shallow strong earthquake in china′s continent and the earth rotation rate variation[J];Earthquake;2004-03
2 WANG Wei~1,LIU Yue~2,LI Guo-zheng~2,WU Geng-feng~2LIN Ming-zhou~1,MA Qin-zhong~1,ZHAO Li-fei~1(1.Earthquake Administration!of Shanghai Municipality,Shanghai 200062;2.School of Computer Engineering and Science,Shanghai University,Shanghai 200072,China);The support vector machine method for time sequence forecasting of strong earthquakes in China′s mainland[J];Earthquake;2005-04
3 Song Chao Huang Mingxiang Ye Jianbin (Zhejiang University, Hangzhou, 310027);THE APPLICATION AND PROBLEMS OF WAVELETS USED IN SHORT-TERM POWER LOAD FORECASTING[J];Proceedings of The Csu-epsa;2002-03
4 XU Jun-hua, LIU Tian-qi ( School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, Sichuan Province, China );AN APPROACH TO SHORT-TERM LOAD FORECASTING BASED ON WAVELET TRANSFORM AND ARITFICIAL NEURAL NETWORK[J];Power System Technology;2004-08
5 WANG Wei,CAO Xue-feng,SONG Xian-yue (Shanghai Seismological Bureau,Shanghai 200062,China);Judgment of the future earthquake situation of China using artificial neuro-network[J];Journal of Seismology;2001-03
6 Feng De-Yi Gu Jin-Ping Luo Rui-Ming Shcng Guo-Ying(The Scismological Itlstiludc of Laticlioti,state Scismological Bureau);TNE STATISTICAL Indexes OF SEISMICITY AND THE PROBABILITY PREDICTION FOR THE TIME OF EARTHQUAKE OCCURRENCE[J];Journal of Seismological Research;1981-01
7 Pei Tao 1 Zhou Chenghu 1 Wang Min 1 Han Zhijun 1 Qin Chengzhi 1 Cai Qiang 1 Li Quanlin 2 (1.Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101,China) (2.Institute of Geophysics, CSB, Beijing 100081,China);Study of the Seismicity of Strong Earthquakes in North China on the Basis of Wavelet-transform Analysis[J];Journal of Seismological Research;2004-01
8 Ding Zhixiong et al.(42);Establishment and Application of Artificial Neural Network for Groundwater Resource System[J];GEOTICHNICAL INVESTIGATION AND SURVEYING;1999-02
9 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
10 Sun Deshan 1,2 Wu Jinpei 3 Hou Zhenting 1 Xiao Jianhua 31 (Research Department of Railway Compus,Central South University,Changsha410075) 2 (Department of Mathematics,Liaoning Normal University,Dalian116029) 3 (Institute of Intelligent Technology&System,Wuyi University,Jiangmen529020);Chaotic Time Series Prediction Based on SVR[J];Computer Engineering and Applications;2004-02
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