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A Data-Driven Model Analysis Method in Optimizing Raw Materials Standard for Glutinous Rice Products

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成果类型:
会议论文
作者:
He Z.;Kang Z.;Zhou J.;Yang H.;Shang X.;...
通讯作者:
Kang, Z.
作者机构:
[Yang H.; Kang Z.; He Z.; Shang X.] College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China
[Zhou J.] School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China
[Li G.] Enterprise-School Joint Innovation Center, Qianjiang Jujin Rice Industry Co., Ltd., Hubei, China
通讯机构:
[Kang, Z.] C
College of Mathematics and Computer Science, China
语种:
英文
关键词:
Data-driven;Multi-objective optimization;Quality standard;Quick-frozen rice dumplings;Special raw materials
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2021
卷:
1363 CCIS
页码:
189-220
会议名称:
15th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2020
会议时间:
23 October 2020 through 25 October 2020
主编:
Pan L.Pang S.Song T.Gong F.
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9789811613531
基金类别:
Acknowledgement. This work is partially supported by subproject of the National Key Research and Development Program of China (Grant No. 2017YFD0401102-02), Key Project of Philosophy and Social Science Research Project of Hubei Provincial Department of Education in 2019(19D59) and Science and Technology Research Project of Hubei Provincial Department of Education (D20191604).
机构署名:
本校为第一机构
院系归属:
食品科学与工程学院
数学与计算机学院
摘要:
The main method to ensure the stable quality of glutinous rice products is to assure that the raw materials of glutinous rice flour meet the specified quality requirements. Therefore, the prediction about the quality standard of raw materials for glutinous rice flour is extremely important. The existing researches rarely take into account such a prediction method for predicting the quality standard of raw materials for glutinous rice flour. In this paper, we apply the quality standard of high-quality glutinous rice products to predict raw mater...

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