Characterization of neural network generalization in the determination of pH and anthocyanin content of wine grape in new vintages and varieties
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- 作者：Vé ; ronique Gomesa ; Armando Fernandese ; f ; Paula Martins-Lopesc ; d ; Leonor Pereirac ; Arlete Mendes Faiab ; c ; Pedro Melo-Pintoa ; g ; pmelo@utad.pt" class="auth_mail" title="E-mail the corresponding author
- 关键词：Wine quality ; Grape berries ; Prediction ; Hyperspectral imaging ; Neural networks
- 刊名：Food Chemistry
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：218
- 期：Complete
- 页码：40-46
- 全文大小：685 K
文摘
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The overall importance of the work was clarified.
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It has been clarified that the obtained results are state-of-the-art.
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The weather conditions and number of samples were added.
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The literature review provided is for works using whole berries.
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Good generalization between vintages and varieties was tested and confirmed.