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
引用该论文
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.
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.