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1.
Standard Mineral Quantitative Calculation Based on the Improved
SVM
and Hyperspectral Remote Sensing
责任者:
Yang Jiajia (College of GeoExploration Science and Technology
;
Jilin University
;
Changchun 130026
;
China )
;
Jiang Qigang
关键词:
高光谱遥感
;
hyperspectral remote sensing
;
矿物成分
;
mineral composition
刊名:
Journal of Jilin University
出版年:2012
卷期:42(3)
2.
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)
3.
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)
4.
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)
5.
Research on Early Judgment of Earthquake Sequence Types Based on
SVM
责任者:
Li Dongmei (Lanzhou Institute of Seismology
;
CEA
;
Lanzhou 730000
;
China)
;
Zhou Cuiying
关键词:
地震序列
;
seismic sequence
;
地震预测
;
earthquake prediction
;
中国
;
China
刊名:
Journal of Seismological Research
出版年:2013
卷期:36(1)
6.
Ground Collapse Prediction of Mined-Out Area Based on EMD and WLS-
SVM
责任者:
Nai Lei (College of Construction and Engineering
;
Jilin University
;
Changchun 130026
;
China)
;
Peng Wen
关键词:
采空区
;
mined-out section
;
地面沉降
;
land subsidence
;
支持向量机
;
support vector machine
刊名:
Journal of Jilin University
出版年:2011
卷期:41(3)
7.
Ground Collapse Prediction of Mined-Out Area Based on EMD and WLS-
SVM
责任者:
Nai Lei (College of Construction and Engineering
;
Jilin University
;
Changchun 130026
;
China)
;
Peng Wen
关键词:
采空区
;
mined-out section
;
地面沉降
;
land subsidence
;
支持向量机
;
support vector machine
刊名:
Journal of Jilin University
出版年:2011
卷期:41(3)
8.
A PCA-
SVM
Model for Reservoir Identification
责任者:
Wang Zhong (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
;
Chengdu University of Technology
;
Chengdu 610059
;
China)
;
Zhang Shaonan
关键词:
储层预测
;
reservoir prediction
;
支持向量机
;
support vector machine
;
鄂尔多斯盆地
;
Ordos Basin
刊名:
Computing Techniques for Geophysical and Geochemical Exploration
出版年:2010
卷期:32(6)
9.
A PCA-
SVM
Model for Reservoir Identification
责任者:
Wang Zhong (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
;
Chengdu University of Technology
;
Chengdu 610059
;
China)
;
Zhang Shaonan
关键词:
储层预测
;
reservoir prediction
;
支持向量机
;
support vector machine
;
鄂尔多斯盆地
;
Ordos Basin
刊名:
Computing Techniques for Geophysical and Geochemical Exploration
出版年:2010
卷期:32(6)
10.
The Application of
SVM
and FMI to the Lithologic Identification of Volcanic Rocks
责任者:
Zhang Ying (College of Information
;
Guangdong Ocean University
;
Zhanjiang 524088
;
China)
;
Pan Baozhi
关键词:
结晶岩类储集层
;
crystalline reservoirs
;
电阻率测井
;
resistivity logging
;
成像测井
;
image logging
;
支持向量机
;
support vector machine
刊名:
Geophysical and Geochemical Exploration
出版年:2011
卷期:35(5)
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