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1.Seismic Damage Prediction Method of Bridges Group Based on Support Vector Machine

责任者：Tan Xiao (Guangzhou University ; Guangzhou 510006 ; China) ; Du Peng

关键词：震灾 ; seismic hazard ; 支持向量机 ; support vector machine

刊名：South China Journal of Seismology

出版年：2013

卷期：33(3)

2.Modeling and Forecasting of the Variable Geomagnetic Field by Support Vector Machine

责任者：Yi Shihua (The Second Artillery Engineering University ; Xi’an 710025 ; China) ; Liu Daizhi

关键词：地磁场 ; geomagnetic field ; 支持向量机 ; support vector machine

刊名：Chinese Journal of Geophysics

出版年：2013

卷期：56(1)

3.Identification of Lithologic Characteristics of Volcanic Rocks by Support Vector Machine

责任者：Zhu Yixiang (Research Institute of Petroleum Exploration & Development ; PetroChina ; Beijing 100083 ; China) ; Shi Guangren

关键词：结晶岩类储集层 ; crystalline reservoirs ; 支持向量机 ; support vector machine

刊名：Acta Petrolei Sinica

出版年：2013

卷期：34(2)

4.The Application of a KPCA-SVM Model to Reservoir Identification

责任者：Pang Heqing (College of Energy Resources ; Chengdu University of Technology ; Chengdu 610059 ; China) ; Kuang Jianchao

关键词：储层预测 ; reservoir prediction ; 支持向量机 ; support vector machine ; 主成分分析 ; principal components analysis

刊名：Geophysical and Geochemical Exploration

出版年：2012

卷期：36(6)

5.Non-Linear AVO Inversion Based on Support Vector Machine

责任者：Bing Pingping (Key Lab. of Geophysical Exploration of CNPC ; China University of Petroleum ; Beijing 102249 ; China) ; Cao Siyuan

关键词：AVO技术 ; AVO techniques ; 支持向量机 ; support vector machine

刊名：Chinese Journal of Geophysics

出版年：2012

卷期：55(3)

6.Lithology Division for Large-Scale Region Segmentation Based on LS-SVM and High Resolution Remote Sensing Images

责任者：Yang Jiajia (College of Geoexploration Science and Technology ; Jilin University ; Changchun 130026 ; China) ; Jiang Qigang

关键词：遥感 ; remote sensing ; 最小二乘法 ; least-squares methods ; 支持向量机 ; support vector machine

刊名：Journal of China University of Petroleum

出版年：2012

卷期：36(1)

7.Source Identification of Water Inrush in Tunnel Based on SVM

责任者：Liu Jian (Faculty of Geosciences and Environmental Engineering ; Southwest Jiaotong University ; Chengdu 610031 ; China) ; Liu Dan

关键词：支持向量机 ; support vector machine ; 突水 ; water gushing

刊名：Hydrogeology and Engineering Geology

出版年：2012

卷期：39(5)

8.Attributes Selection and Reservoir Prediction Based on Support Vector Machine

责任者：Zhang Changkai (Department of Automation ; State Key Laboratory of Intelligent Technology and Systems ; Tsinghua National Laboratory for Information Science and Technology ; Tsinghua University ; Beijing 100084 ; China) ; Jiang Xiudi

关键词：支持向量机 ; support vector machine ; 地震属性 ; seismic attributes ; 储层预测 ; reservoir prediction

刊名：Oil Geophysical Prospecting

出版年：2012

卷期：47(2)

9.Landslide Susceptibility Assessment Based on Rough Sets and Support Vector Machine

责任者：Niu Ruiqing (Institute of Geophysics and Geomatics ; China University of Geosciences ; Wuhan 430074 ; China) ; Peng Ling

关键词：支持向量机 ; support vector machine ; 滑坡 ; landslides ; 长江三峡 ; Yangtze Three Gorgees

刊名：Journal of Jilin University

出版年：2012

卷期：42(2)

10.Lithology Division for Large-Scale Region Segmentation Based on LS-SVM and High Resolution Remote Sensing Images

责任者：Yang Jiajia (College of Geoexploration Science and Technology ; Jilin University ; Changchun 130026 ; China) ; Jiang Qigang

关键词：遥感 ; remote sensing ; 最小二乘法 ; least-squares methods ; 支持向量机 ; support vector machine

刊名：Journal of China University of Petroleum

出版年：2012

卷期：36(1)

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