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Study on the screening of active components of natural products based on Artificial Intelligence

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成果类型:
会议论文
作者:
Cao, Qingming*
通讯作者:
Cao, Qingming
作者机构:
[Cao, Qingming] Natl Engn Lab Rice & Byprod Proc, Changsha 410004, Hunan, Peoples R China.
[Cao, Qingming] Cent South Univ Forestry & Technol, Fac Food Sci & Engn, Changsha 410004, Hunan, Peoples R China.
通讯机构:
[Cao, Qingming] N
[Cao, Qingming] C
Natl Engn Lab Rice & Byprod Proc, Changsha 410004, Hunan, Peoples R China.
Cent South Univ Forestry & Technol, Fac Food Sci & Engn, Changsha 410004, Hunan, Peoples R China.
语种:
英文
关键词:
natural product;active ingredient;artificial intelligence;the SVM algorithm;genetic algorithm
期刊:
2016 INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE)
年:
2016
页码:
606-609
会议名称:
2016 International Conference on Smart City and Systems Engineering (ICSCSE)
会议论文集名称:
2016 International Conference on Smart City and Systems Engineering (ICSCSE)
会议时间:
November 2016
会议地点:
Hunan, China
出版者:
IEEE
ISBN:
978-1-5090-5531-9
基金类别:
Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2016JJ5016]
机构署名:
本校为第一且通讯机构
院系归属:
食品科学与工程学院
摘要:
With the worldwide research on natural product activity, new technologies and methods have been added to the screening of natural products. This effectively improves the efficiency and precision of the screening of the active ingredients of natural products. Artificial intelligence is a new technology which is currently in the field of computer, the basic principle of artificial intelligence technology was applied to the screening of active components of natural products in the paper, which has laid a solid theoretical foundation and support for strong screening active components in natural pr...

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