A machine learning method for juice human sensory hedonic prediction using electronic sensory features

A machine learning method for juice human sensory hedonic prediction using electronic sensory features

This study proposed a method that combines fused electronic sensory analysis technology with artificial neural network to predict the human sensory hedonic of fruit juice. Quantitative descriptive analysis (QDA) and the scoring test method were utilized for human sensory evaluation. The first step i...

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Bibliographic Details
Main Authors: Huihui Yang, Yutang Wang, Jinyong Zhao, Ping Li, Long Li, Fengzhong Wang
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Current Research in Food Science
Subjects:
Electronic sensory
Human sensory
Artificial neural network
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927123001442

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