中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [4]
长春光学精密机械与物... [1]
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OAI收割 [5]
内容类型
期刊论文 [3]
SCI/SSCI论文 [1]
会议论文 [1]
发表日期
2021 [2]
2020 [1]
2013 [1]
2006 [1]
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Comparative Study on the Effect of Shape Complexity on the Efficiency of Different Overlay Analysis Algorithms
期刊论文
OAI收割
IEEE ACCESS, 2021, 卷号: 9, 页码: 144179-144194
作者:
Zhang, Peng
;
Fan, Junfu
;
Zhang, Panpan
;
Zhang, Zhikun
;
Chen, Zheng
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/09/21
Shape
Complexity theory
Shape measurement
Linear regression
Licenses
Computational modeling
Analytical models
Shape complexity
overlay analysis
multiple linear regression
Comparative Study on the Effect of Shape Complexity on the Efficiency of Different Overlay Analysis Algorithms
期刊论文
OAI收割
IEEE ACCESS, 2021, 卷号: 9, 页码: 144179-144194
作者:
Zhang, Peng
;
Fan, Junfu
;
Zhang, Panpan
;
Zhang, Zhikun
;
Chen, Zheng
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/09/21
Shape
Complexity theory
Shape measurement
Linear regression
Licenses
Computational modeling
Analytical models
Shape complexity
overlay analysis
multiple linear regression
Quantifying landscape pattern and ecosystem service value changes: A case study at the county level in the Chinese Loess Plateau
期刊论文
OAI收割
GLOBAL ECOLOGY AND CONSERVATION, 2020, 卷号: 23, 页码: 14
作者:
Zhang, Jing
;
Qu, Mei
;
Wang, Cheng
;
Zhao, Jun
;
Cao, Yang
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/03/16
Land-use change
Landscape metrics
Multiple linear regression models
Spatial-temporal evolution
Comparison of three methods to develop pedotransfer functions for the saturated water content and field water capacity in permafrost region
SCI/SSCI论文
OAI收割
2013
Yi X. S.
;
Li G. S.
;
Yin Y. Y.
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2014/12/24
Pedotransfer functions
Multiple-linear regression
Artificial neural
network
Rosetta method
soil hydraulic conductivity
particle-size distribution
pedo-transfer
functions
neural-network models
retention characteristics
bulk-density
physical-properties
alluvial soils
prediction
parameters
Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE)
会议论文
OAI收割
ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Chen X.-D.
;
Chen X.-D.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
Near infrared (NIR) reflectance spectroscopy was used to develop a fast determination method for total ginsenosides in Ginseng (Panax Ginseng) powder. The spectra were analyzed with multiplicative signal correction (MSC) correlation method. The best correlative spectra region with the total ginsenosides content was 1660 nm1880 nm and 2230nm-2380 nm. The NIR calibration models of ginsenosides were built with multiple linear regression (MLR)
principle component regression (PCR) and partial least squares (PLS) regression respectively. The results showed that the calibration model built with PLS combined with MSC and the optimal spectrum region was the best one. The correlation coefficient and the root mean square error of correction validation (RMSEC) of the best calibration model were 0.98 and 0.15% respectively. The optimal spectrum region for calibration was 1204nm-2014nm. The result suggested that using NIR to rapidly determinate the total ginsenosides content in ginseng powder were feasible.