中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization 期刊论文  OAI收割
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:  
Wang, Jianzhou;  Cheng, Zishu
  |  收藏  |  浏览/下载:43/0  |  提交时间:2022/04/29
Combined toxicity of endocrine-disrupting chemicals: A review 期刊论文  OAI收割
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2021, 卷号: 215, 页码: 14
作者:  
Hamid, Naima;  Junaid, Muhammad;  Pei, De-Sheng
  |  收藏  |  浏览/下载:52/0  |  提交时间:2021/05/17
A Hierarchical Forecasting Model for China's Foreign Trade 期刊论文  OAI收割
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2020, 页码: 17
作者:  
Sun, Yuying;  Zhang, Xun;  Wang, Shouyang
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/06/30
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:29/0  |  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.