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Application of Intelligent Taste Analysis Based on Random Forest Algorithm in Food Quality Inspection
Author(s) -
Xinghua Zhang,
Yongjie Sun,
Yongxin Sun
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/6901184
Subject(s) - counterfeit , random forest , quality (philosophy) , computer science , food safety , decision tree , product (mathematics) , scale (ratio) , test (biology) , sample (material) , machine learning , food quality , algorithm , marketing , risk analysis (engineering) , business , mathematics , paleontology , philosophy , chemistry , physics , geometry , food science , epistemology , quantum mechanics , chromatography , political science , law , biology , medicine , pathology

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