Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)

标题
Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)
作者
关键词
Tomatoes, Artificial neural networks, Fruit crops, Neurons, Forecasting, Neural networks, Fructoses, Glucose
出版物
PLoS One
Volume 10, Issue 6, Pages e0128566
出版商
Public Library of Science (PLoS)
发表日期
2015-06-16
DOI
10.1371/journal.pone.0128566

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