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Study on the feature selection and classifica-tion effect of precursory data of ground tilt
引用本文:李正媛,吴奕麟,李晓军.Study on the feature selection and classifica-tion effect of precursory data of ground tilt[J].地震学报(英文版),1996,9(4):605-610.
作者姓名:李正媛  吴奕麟  李晓军
作者单位:ZHENG YUAN LI,DE FU CHEN,YI LIN WU and XIAO JUN LI Institute of Seismology,State Seismological Bureau,Wuhan 430071,China
摘    要:Studyonthefeatureselectionandclassifica┐tionefectofprecursorydataofgroundtiltZHENG-YUANLI(李正媛),DE-FUCHEN(陈德福),YI-LINWU(吴奕麟)a...

收稿时间:8 May 1995
修稿时间:18 September 1995

Study on the feature selection and classification effect of precursory data of ground tilt
ZHENG YUAN LI,DE FU CHEN,YI LIN WU and XIAO JUN LI Institute of Seismology,State Seismological Bureau,Wuhan ,China.Study on the feature selection and classification effect of precursory data of ground tilt[J].Acta Seismologica Sinica(English Edition),1996,9(4):605-610.
Authors:ZHENG YUAN LI  DE FU CHEN  YI LIN WU and XIAO JUN LI Institute of Seismology  State Seismological Bureau  Wuhan  China
Institution:(1) Institute of Seismology, State Seismological Bureau, 430071 Wuhan, China
Abstract:Using the view point of nonlinear science and the method of selecting numerical features of pattern recognition for reference, the physical and numerical features of precursory ground tilt data are synthetically employed. The dynamic changes of data series are described with the numerical features in multi dimensional space and their distributive relations instead of an unique factor. The relationship between the ground tilt data and earthquake is examined through recognition and classification.
Keywords:data processing  pattern recognition  precursor  ground tilt tide  feature space  
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