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兰州大学 [48]
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期刊论文 [43]
会议论文 [5]
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2016 [2]
2015 [2]
2014 [4]
2013 [5]
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chemistry [23]
pharmacolo... [8]
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浏览/检索结果:
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专题:兰州大学
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A novel linear relationship for calculating dynamic shear modulus of geomaterials
期刊论文
Journal Wuhan University of Technology, Materials Science Edition, 2016, 卷号: 31, 期号: 4, 页码: 838-842
作者:
Ma, Wenguo
;
Wang, Lanmin
;
Li, Xuefeng
;
Yang, Youzhen
;
Wang, LM (reprint author), Lanzhou Univ, Sch Civil Engn & Mech, Lanzhou 730000, Peoples R China.
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2017/01/16
dynamic shear modulus
damping ratio
linear regression
geomaterials
Predicting the aquatic toxicity mode of action using logistic regression and linear discriminant analysis
期刊论文
SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2016, 卷号: 27, 期号: 1-9, 页码: 721-746
作者:
Ren, YY
;
Zhou, LC
;
Yang, L
;
Liu, PY
;
Zhao, BW
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/05/08
Logistic regression
linear discriminant analysis
modes of aquatic toxic action
CODESSA
DRAGON
influence plot
Ligand Efficiency Outperforms pIC(50) on Both 2D MLR and 3D CoMFA Models: A Case Study on AR Antagonists
期刊论文
CHEMICAL BIOLOGY & DRUG DESIGN, 2015, 卷号: 86, 期号: 6, 页码: 1501-1517
作者:
Li, JZ
;
Bai, F
;
Liu, HX
;
Gramatica, P
;
Li, JZ (reprint author), Lanzhou Univ, Sch Pharm, 199 West Donggang Rd, Lanzhou 730000, Peoples R China.
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  |  
浏览/下载:3/0
  |  
提交时间:2017/01/11
androgen receptor antagonist
comparative molecular field analysis
ligand efficiency
multiple linear regression
surface efficiency index
A Combined Quantitative Structure-Activity Relationship Research of Quinolinone Derivatives as Androgen Receptor Antagonists
期刊论文
COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2015, 卷号: 18, 期号: 9, 页码: 834-845
作者:
Wang, YW
;
Bai, F
;
Cao, H
;
Li, JZ
;
Liu, HX
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2017/01/11
Androgen receptor (AR)
comparative molecular field analysis (CoMFA)
prostate cancer (PCa)
comparative molecular similarity indices analysis (CoMSIA)
multiple linear regression (MLR)
In Silico Study Combining Docking and QSAR Methods on a Series of Matrix Metalloproteinase 13 Inhibitors
期刊论文
ARCHIV DER PHARMAZIE, 2014, 卷号: 347, 期号: 11, 页码: 825-833
作者:
Xi, LL
;
Li, SY
;
Yao, XJ
;
Wei, YH
;
Li, JZ
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2016/03/29
Genetic algorithm
Matrix metalloproteinase 13 inhibitors
Molecular docking
Multiple linear regression
A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general regression neural network
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2014, 卷号: 496, 页码: 264-274
作者:
Zhou, QP
;
Jiang, HY
;
Wang, JZ
;
Zhou, JL
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  |  
浏览/下载:1/0
  |  
提交时间:2015/12/16
PM2.5
Ensemble empirical mode decomposition
General regression neural network
Multiple linear regression
Principal components regression
MLRMPA: An R package of multiple linear regression model population analysis based on a cluster sampling technique for variable selection of high dimensional data
期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2014, 卷号: 132
-
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  |  
浏览/下载:6/0
  |  
提交时间:2014/12/05
Feature selection
Cluster sampling
Multiple linear regression model population
analysis R package
Multivariate linear wind speed forecast method based on the SSA and WRF model
会议论文
2013 2nd International Conference on Sustainable Energy and Environmental Engineering, ICSEEE 2013, Shenzhen, China, December 28, 2013 - December 29, 2013
作者:
Zhao, Yan Ru
;
Zhang, Hong Li
;
Su, Zhong Yue
;
Zhang, Wen Yu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2017/01/18
Weather forecasting
Electric power generation
Energy conservation
Forecasting
Linear regression
Mean square error
Spectrum analysis
Wind
Wind power
Electric power development
MLR
Multiple linear regressions
Root mean square errors
Singular spectrum analysis
SSA
Wind speed
WRF
基于粒子群优化的PLS-LCF岩爆灾害预测模型研究
期刊论文
岩石力学与工程学报, 2013, 卷号: 32, 期号: S2, 页码: 3180-3186
作者:
言志信
;
贺香
;
龚斌
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2016/07/27
岩石力学
岩爆预测
多重共线性
偏最小二乘回归
粒子群
逻辑曲线函数
Dependent variables
Evaluation results
Logistic curves
Multicollinearity
Non-linear relationships
Partial least-squares regression
Practical engineering
Rockburst prediction
QSAR Modeling for the Antimalarial Activity of 1,4-Naphthoquinonyl Derivatives as Potential Antimalarial Agents
期刊论文
CURRENT COMPUTER-AIDED DRUG DESIGN, 2013, 卷号: 9, 期号: 1
-
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2014/12/05
Antimalarial activity
dug design
malaria
molecular design
multiple linear regression (MLR)
1,4-Naphthoquinonyl derivatives
QSAR
radial basis function neural network (RBFNN)
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