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1.
A Tentative Discussion on the Time and the Way of Marine
Regression
from Tarim Bay during the Cenozoic
责任者:
Zhang Hua (Key Laboratory of Metallogeny and Mineral Assessment
;
MLR
;
Institute of Mineral Resources
;
Chinese Academy of Geological Sciences
;
Beijing 100037
;
China)
;
Liu Chenglin
关键词:
海退
;
regression
;
新生代
;
Cenozoic
;
库车坳陷
;
Kuqa Depression
刊名:
Acta Geoscientica Sinica
出版年:2013
卷期:34(5)
2.
Research of Landslide Susceptibility after the Lushan Earthquake Based on Logistic
Regression
Model
责任者:
Feng Ce (State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
;
Chengdu University of Technology
;
Chengdu 610059
;
China)
;
Liu Rui
关键词:
滑坡
;
landslides
;
四川
;
Sichuan Province
刊名:
Journal of Chengdu University of Technology
出版年:2013
卷期:40(3)
3.
Stepwise
Regression
Analysis and Prediction of the Coal Reservoir Permeability in Liulin Area
责任者:
Wang Xiangye (Xi’an Research Institute
;
China Coal Technology and Engineering Group Crop.
;
Xi’an 710054
;
China)
;
Li Jianwu
关键词:
煤层
;
coal seam
;
渗透率
;
permeability
;
回归分析
;
regression
analysis
;
鄂尔多斯盆地
;
Ordos Basin
刊名:
Coal Geology & Exploration
出版年:2013
卷期:41(3)
4.
Application of the Weighted Logistic
Regression
Model on ArcGIS Platform to Prediction of Copper Deposits: A Case Study of the Bogda-Harlik Metauoginic Belt
责任者:
Xu Shiqi (Xinjiang Institute of Geological Survey
;
Urumqi 830000
;
China)
;
Zhao Tongyang
关键词:
铜矿
;
copper ores
;
证据权重法
;
evidence weight methods
;
新疆
;
Xinjiang
刊名:
Geology and Prospecting
出版年:2013
卷期:49(5)
5.
Application of Multiple Stepwise
Regression
to Influential Evaluation of Pore-Throat Size on Low-Permeability Sandstone Reservoirs
责任者:
Hu Zuowei (State Key Laboratory of Oil/Gas Reservoir Geology and Exploitation
;
Institute of Sedimentary Geology
;
Chengdu University of Technology
;
Chengdu 610059
;
China)
;
Huang Sijing
关键词:
回归分析
;
regression
analysis
;
孔隙度
;
porosity
;
砂岩储集层
;
sandstone reservoirs
;
低渗透储集层
;
low permeability reservoirs
刊名:
Journal of Guilin University of Technology
出版年:2013
卷期:33(1)
6.
The Prediction Model of Small Fault Extending Length by Using Multi-Variable Linear
Regression
责任者:
Qiu Mei (Key Laboratory of Depositional Mineralization and Sedimentary Minerals
;
College of Geological Sciences and Engineering
;
Shandong University of Science and Technology
;
Qingdao 266590
;
China)
;
Shi Longqing
关键词:
矿田构造
;
mine field structure
;
断层
;
faults
;
回归分析
;
regression
analysis
刊名:
Coal Geology & Exploration
出版年:2013
卷期:41(6)
7.
The Application of Weighted Logistic
Regression
Model in Prediction of Porphyry Copper Deposit—Taking Zharma-Sawur
Metallogenic Belt
,
China
—
Kazakhstan
Border Area, as an Example
责任者:
Nulimangu A. (Key Laboratory of Geodynamic Processes and Metalloginic Prognosis of Central Asian Orogenic Belt
;
Xinjiang University
;
Urumqi 830047
;
China)
;
Zhang Xiaofan
关键词:
斑岩铜矿床
;
porphyry copper deposit
;
中国
;
China
;
哈萨克斯坦
;
Kazakhstan
刊名:
Geological Review
出版年:2012
卷期:58(2)
8.
The Application of Weighted Logistic
Regression
Model in Prediction of Porphyry Copper Deposit—Taking Zharma-Sawur
Metallogenic Belt
,
China
—
Kazakhstan
Border Area, as an Example
责任者:
Nulimangu A. (Key Laboratory of Geodynamic Processes and Metalloginic Prognosis of Central Asian Orogenic Belt
;
Xinjiang University
;
Urumqi 830047
;
China)
;
Zhang Xiaofan
关键词:
斑岩铜矿床
;
porphyry copper deposit
;
中国
;
China
;
哈萨克斯坦
;
Kazakhstan
刊名:
Geological Review
出版年:2012
卷期:58(2)
9.
Simplification Application of Two-Error
Regression
Model in the Uncertainty Evaluation on Inductively Coupled Plasma-Mass Spectrometric Determination of Sr in Drinking Waters
责任者:
Zheng Song (Guizhou Central Laboratory of Geology and Mineral Resource
;
Guiyang 550004
;
China)
;
Kuang Yunsuo
关键词:
天然气水合物
;
gas hydrates
;
祁连山
;
Qilian Mountains
刊名:
Rock and Mineral Analysis
出版年:2012
卷期:31(3)
10.
Integrated Evaluation of Sand Liqufaction Based on Generalized
Regression
Neural Network
责任者:
Fan Fusong (Faculty of Engineering
;
China University of Geosciences
;
Wuhan 430074
;
China)
;
Hu XinLi
关键词:
砂土液化
;
sand liquefaction
刊名:
Coal Geology & Exploration
出版年:2012
卷期:40(4)
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