发光学报, 2018, 39 (9): 1310, 网络出版: 2018-09-08
基于MC-UVE、GA算法及因子分析对葡萄酒酒精度近红外定量模型的优化研究
Optimization of Near Infrared Quantitative Model for Wine Alcohol Content Based on MC-UVE, GA Algorithm and Factor Analysis
基本信息
DOI: | 10.3788/fgxb20183909.1310 |
中图分类号: | TN219 |
栏目: | 发光学应用及交叉前沿 |
项目基金: | -- |
收稿日期: | 2018-02-28 |
修改稿日期: | 2018-04-13 |
网络出版日期: | 2018-09-08 |
通讯作者: | 顾小红 (guxh@jiangnan.edu.cn) |
备注: | -- |
王怡淼, 朱金林, 张慧, 赵建新, 顾小红, 朱华新. 基于MC-UVE、GA算法及因子分析对葡萄酒酒精度近红外定量模型的优化研究[J]. 发光学报, 2018, 39(9): 1310. WANG Yi-miao, ZHU Jin-lin, ZHANG Hui, ZHAO Jian-xin, GU Xiao-hong, ZHU Hua-xin. Optimization of Near Infrared Quantitative Model for Wine Alcohol Content Based on MC-UVE, GA Algorithm and Factor Analysis[J]. Chinese Journal of Luminescence, 2018, 39(9): 1310.