传统医学研究（英文版）2023，Vol.8Issue(1)：12-19,8.DOI:10.53388/TMR20220424003
Multi-component quantitative and feed-forward neural network for pattern classification of raw and wine-processed Corni Fructus
Multi-component quantitative and feed-forward neural network for pattern classification of raw and wine-processed Corni Fructus
Yu Liu 1Ying-Fang Cui 1Dan-Dan Shi 1Shu-Li Man 1Xia Li 2Wen-Yuan Gao2
作者信息
- 1. State Key Laboratory of Food Nutrition and Safety/Key Laboratory of Industrial Microbiology,Ministry of Education/Tianjin Key Laboratory of IndustryMicrobiology/National and Local United Engineering Lab of Metabolic Control Fermentation Technology/China International Science and Technology Cooperation Base of Food Nutrition,Safety and Medicinal Chemistry/College of Biotechnology,Tianjin University of Science&Technology,Tianjin 300457,China
- 2. Tianjin Key Laboratory for Modern Drug Delivery&High-Efficiency,School of Pharmaceutical Science and Technology,Tianjin University,Tianjin 300072,China
- 折叠
摘要
关键词
Cornus officinalis Sieb. et Zucc./quality evaluation/fingerprints/processing mechanism/feedforward neural networkKey words
Cornus officinalis Sieb. et Zucc./quality evaluation/fingerprints/processing mechanism/feedforward neural network引用本文复制引用
Yu Liu,Ying-Fang Cui,Dan-Dan Shi,Shu-Li Man,Xia Li,Wen-Yuan Gao..Multi-component quantitative and feed-forward neural network for pattern classification of raw and wine-processed Corni Fructus[J].传统医学研究（英文版）,2023,8(1):12-19,8.
