Combined application of electronic nose analysis and back-propagation neural network and random forest models for assessing yogurt flavor acceptability-Reference-Cited by-同舟云学术

Combined application of electronic nose analysis and back-propagation neural network and random forest models for assessing yogurt flavor acceptability

Published:2019-12-18 Issue:1 Volume:14 Page:573-583
ISSN:2193-4126
Container-title:Journal of Food Measurement and Characterization
language:en
Short-container-title:Food Measure

Author:

Tian Huaixiang,Liu Han,He Yujie,Chen Bin,Xiao Lizhong,Fei Yugang,Wang Guangzhong,Yu Haiyan,Chen Chen^ORCID

Funder

Open Project Program of State Key Laboratory of Dairy Biotechnology

“Shu Guang” Project

Shanghai Education Development Foundation and Shanghai Rising-Star Program

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science

Link

http://link.springer.com/content/pdf/10.1007/s11694-019-00335-w.pdf

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