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支持向量机在重震联合反演中的应用研究
引用本文:邬世英,王延江,李莉,胡加山,冯国志,阎汉杰.支持向量机在重震联合反演中的应用研究[J].地球物理学进展,2007,22(5):1611-1616.
作者姓名:邬世英  王延江  李莉  胡加山  冯国志  阎汉杰
作者单位:1. 石油大学信息与控制工程学院,东营,257061
2. 胜利油田物探研究院,东营,257022
摘    要:本文对利用支持向量机进行重震联合反演问题做了深入研究,特别是对支持向量机用于重震联合反演时的重力资料的处理、参数选取、特征量的提取等具体实现问题进行了讨论,最后用所设计的支持向量机重震联合反演模型对东营北部区域结晶基底岩做了预测反演,取得了满意的效果.

关 键 词:支持向量机  联合反演  BP神经网络  重力  地震
文章编号:1004-2903(2007)05-1611-06
收稿时间:2006-11-29
修稿时间:2007-02-25

The application of support vector machine in the joint inversion of gravimetric and seismic data
WU Shi-ying,WANG Yan-jiang,LI Li,HU Jia-shang,FENG Guo-zhi,YAN Han-jie.The application of support vector machine in the joint inversion of gravimetric and seismic data[J].Progress in Geophysics,2007,22(5):1611-1616.
Authors:WU Shi-ying  WANG Yan-jiang  LI Li  HU Jia-shang  FENG Guo-zhi  YAN Han-jie
Institution:College of Information and Control Engineering, University of Petroleum, Dongying 257061, China ; Geophysical Exploration and Development Research Institute , Shengli Oil field, Dongying 257022,China
Abstract:This paper has given a thorough investigation into the application of SVM to the combined inversion of gravimetric and seismic data. First,the basic principle of SVM is briefly introduced,and then the parameters of the SVM and the samples to be chosen for inversion training are discussed.Finally,the proposed SVM is used in the depth inversion of North Dongying and the result is promising.
Keywords:combined inversion  SVM  BP neural network  gravity  seismic
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