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Influence of Oil Price on Corn Price Based on Multiple Linear Regression Model 会议论文
Taichung, Taiwan, February 1, 2020 - February 3, 2020
作者:  Liu, Xinyu;  Wang, Yanan
收藏  |  浏览/下载：18/0  |  提交时间：2022/04/21
Quality Prediction of Plasticizing and Molding Process of Single-Based Gun Propellant Based on GG-KECA-RVM Multi-Stage Model Fusion 会议论文
Virtual, Munich, Germany, February 10-12, 2022
作者:  Yang MY(杨明毅);  Xu ZG(徐志刚);  Wang JY(王军义i;  Yu TJ(余廷江);  Chen SB(陈舒渤)
收藏  |  浏览/下载：20/0  |  提交时间：2022/05/02
Data-driven Models for Predicting Delay Recovery in High-Speed Rail 会议论文
4th International Conference on Transportation Information and Safety (ICTIS), Banff, CANADA, AUG 08-10, 2017
作者:  Wen, Chao;  Lessan, Javad;  Fu, Liping;  Huang, Ping;  Jiang, Chaozhe*
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/04
Contrastive Analysis of Car Interior Sound Quality Evaluation Models 会议论文
International Conference on Civil, Transportation and Environment (ICCTE)
作者:  Zuo, Yanyan[1];  Liao, Lianying[2];  Meng, Haodong[3];  Wu, Saisai[4]
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/24
Contrastive Analysis of Car Interior Sound Quality Evaluation Models 会议论文
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON CIVIL, TRANSPORTATION AND ENVIRONMENT, 2016-01-01
作者:  Zuo, Yanyan[1];  Liao, Lianying[2];  Meng, Haodong[3];  Wu, Saisai[4]
收藏  |  浏览/下载：8/0  |  提交时间：2019/12/24
A Novel Bagging Ensemble Approach for Variable Ranking and Selection for Linear Regression Models 会议论文
作者:  Zhang, Chun-Xia;  Zhang, Jiang-She;  Wang, Guan-Wei
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/02
Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE) 会议论文
ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China
Chen H.-C.; Chen X.-D.; Lu Y.-J.; Cao Z.-Q.
收藏  |  浏览/下载：16/0  |  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.  
VALIDATED QSPR MODELS FOR THE PREDICTION OF MINIMUM IGNITION ENERGY 会议论文
REVUE ROUMAINE DE CHIMIE, 111, 2018
作者:  Li, Shan;  Wei, Chengzhuo;  Fan, Lingling;  Xu, Jie
收藏  |  浏览/下载：1/0  |  提交时间：2019/12/25

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