机构

• 地理科学与资源研究所 [3]
• 过程工程研究所 [2]
• 物理研究所 [1]
• 长春光学精密机械与物... [1]
• 青岛生物能源与过程研... [1]
• 生态环境研究中心 [1]
• 更多

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [8]
• SCI/SSCI论文 [1]
• 会议论文 [1]

发表日期

• 2021 [2]
• 2016 [2]
• 2014 [4]
• 2006 [1]
• 2005 [1]

学科主题

• Chemistry [1]
• Environmen... [1]

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Integrated phenology and climate in rice yields prediction using machine learning methods 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 120, 页码: 11 作者:  Guo, Yahui;  Fu, Yongshuo;  Hao, Fanghua;  Zhang, Xuan;  Wu, Wenxiang   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/03/15 Early mature rice  Machine learning (ML) methods  Multiple linear regression (MLR)  Rice yield prediction  Phenology   Integrated phenology and climate in rice yields prediction using machine learning methods 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 120, 页码: 11 作者:  Guo, Yahui;  Fu, Yongshuo;  Hao, Fanghua;  Zhang, Xuan;  Wu, Wenxiang   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/03/15 Early mature rice  Machine learning (ML) methods  Multiple linear regression (MLR)  Rice yield prediction  Phenology   Prediction of viscosity of imidazolium-based ionic liquids using MLR and SVM algorithms 期刊论文  OAI收割 COMPUTERS & CHEMICAL ENGINEERING, 2016, 卷号: 92, 期号: SEP, 页码: 37-42 作者:  Zhao, Yongsheng;  Zhang, Xiangping;  Deng, Liyuan;  Zhang, Suojiang 收藏  |  浏览/下载：23/0  |  提交时间：2016/11/21 Ionic liquids  Viscosity  Support vector machine (SVM)  Multiple linear regression (MLR)  Fragment contribution-corresponding  states (FC-CS) method   Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method SCI/SSCI论文  OAI收割 2016 作者:  Zeng C. Y.;  Yang, L.;  Zhu, A. X.;  Rossiter, D. G.;  Liu, J. 收藏  |  浏览/下载：58/0  |  提交时间：2016/12/16 Mixed geographically weighted regression (MGWR)  Geographically weighted  regression (GWR)  Multiple linear regression (MLR)  Soil organic matter  concentration (SOM)  multiple-linear-regression  spatial prediction  auxiliary information  carbon  variables  patterns  region  model  catchment  australia   The interaction between organic phosphate ester and p53: An integrated experimental and in silico approach 期刊论文  OAI收割 MARINE POLLUTION BULLETIN, 2014, 卷号: 85, 期号: 2, 页码: 516-521 作者:  Li, Fei;  Li, Renmin;  Yang, Xianhai;  You, Liping;  Zhao, Jianmin 收藏  |  浏览/下载：23/0  |  提交时间：2015/11/02 Organophosphate flame retardants (OPFRs) p53  Docking  Quantitative structure-activity relationship (QSAR)  Binding affinity  Multiple linear regression (MLR)   The interaction between organic phosphate ester and p53: An integrated experimental and in silico approach 期刊论文  OAI收割 MARINE POLLUTION BULLETIN, 2014, 卷号: 85, 期号: 2, 页码: 516-521 作者:  Li, Fei;  Li, Renmin;  Yang, Xianhai;  You, Liping;  Zhao, Jianmin 收藏  |  浏览/下载：29/0  |  提交时间：2015/07/31 Organophosphate flame retardants (OPFRs) p53  Docking  Quantitative structure-activity relationship (QSAR)  Binding affinity  Multiple linear regression (MLR)   Toxicity of ionic liquids: Database and prediction via quantitative structure-activity relationship method 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2014, 卷号: 278, 期号: AUG., 页码: 320-329 作者:  Zhao, Yongsheng;  Zhao, Jihong;  Huang, Ying;  Zhou, Qing;  Zhang, Xiangping 收藏  |  浏览/下载：29/0  |  提交时间：2014/09/30 QSAR  Multiple linear regression (MLR)  Support vector machine (SVM)  Toxicity  Ionic liquids   Predicting the Acute Toxicity of Aromatic Amines by Linear and Nonlinear Regression Methods 期刊论文  OAI收割 CHINESE JOURNAL OF STRUCTURAL CHEMISTRY, 2014, 卷号: 33, 期号: 2, 页码: 244 Zhang, XL; Zhou, ZX; Liu, YH; Fan, XL; Li, HD; Wang, JT 收藏  |  浏览/下载：29/0  |  提交时间：2015/04/14 aromatic amines  acute toxicity  quantitative structure-activity relationship (QSAR)  support vector machine (SVM)  multiple linear regression (MLR)   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：24/0  |  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.   Preliminary study of the retention behavior for different compounds using cryogenic chromatography at different initial temperatures 期刊论文  OAI收割 MICROCHEMICAL JOURNAL, 2005, 卷号: 81, 期号: 2, 页码: 184-190 作者:  Wang, YW;  Liu, JM;  Li, N;  Shi, GQ;  Jiang, GB 收藏  |  浏览/下载：35/0  |  提交时间：2015/10/28 cryogenic chromatography  Kovats indices  multiple linear regression (MLR)