首页|期刊导航|传统医学研究（英文版）|Artificial neural network techniques to predict the moisture ratio content during hot air drying and vacuum drying of Radix isatidis extract

Artificial neural network techniques to predict the moisture ratio content during hot air drying and vacuum drying of Radix isatidis extract

You-Lu Li Yao Liu Jian Xu Yong-Ping Zhang Luo-Na Zhao Yan-Yan Miao

传统医学研究（英文版）2022，Vol.7Issue(1)：28-34,7.

Artificial neural network techniques to predict the moisture ratio content during hot air drying and vacuum drying of Radix isatidis extract

You-Lu Li ¹Yao Liu ¹Jian Xu ²Yong-Ping Zhang ³Luo-Na Zhao ¹Yan-Yan Miao²

作者信息

1. School of Pharmacy,Guizhou University of Traditional Chinese Medicine,Guiyang 550025,China
2. National Research Center of Miao Medicine Engineering Technology,Guiyang 550025,China
3. Guizhou Research Center of Traditional Chinese Medicine Processing and Preparation Engineering Technology,Guiyang 550025,China
折叠

摘要

关键词

Radix isatidis extract/artificial neural networks/moisture ratio prediction/hot air drying/vacuum drying

Key words

Radix isatidis extract/artificial neural networks/moisture ratio prediction/hot air drying/vacuum drying

引用本文复制引用

You-Lu Li,Yao Liu,Jian Xu,Yong-Ping Zhang,Luo-Na Zhao,Yan-Yan Miao..Artificial neural network techniques to predict the moisture ratio content during hot air drying and vacuum drying of Radix isatidis extract[J].传统医学研究（英文版）,2022,7(1):28-34,7.

基金项目

The study was found by Guizhou Province Science and Technology Plan Project(No.Qiankeheji-ZK(2021)General 533),Domestic First-Class Discipline Construction Project in Guizhou Province(No.GNYL(2017)008)and Guizhou Province Drug New Formulation New Process Technology Innovation Talent Team Project(No.Qiankehe Platform Talents(2017)5655).We thank Editage Ltd.,for editing the English text of a draft of this manuscript. （No.Qiankeheji-ZK(2021）

传统医学研究（英文版）

ISSN：2413-3973

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