NIST · ИТ · ea7e04e44f7c224e0ddc
Comparison of Chemometric Problems in Food Analysis Using Non-Linear Methods
Food analysis is a challenging analytical problem, often addressed using sophisticated laboratory methods that produce large data sets. Linear and non-linear multivariate methods can be used to process these types of datasets and to answer questions such
NIST · ИТОфициальный источник · 2020-07-02
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"title_en": "Comparison of Chemometric Problems in Food Analysis Using Non-Linear Methods",
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"date": "2020-07-02",
"date_original": "July 2, 2020",
"url": "https://www.nist.gov/publications/comparison-chemometric-problems-food-analysis-using-non-linear-methods",
"source": "NIST Publications",
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"authors_en": "Werickson Fortunato de Carvalho Rocha, Charles Prado, Niksa Blonder",
"abstract_excerpt_en": "Food analysis is a challenging analytical problem, often addressed using sophisticated laboratory methods that produce large data sets. Linear and non-linear multivariate methods can be used to process these types of datasets and to answer questions such",
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"title_en": "Comparison of Chemometric Problems in Food Analysis Using Non-Linear Methods",
"designation": "",
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"date": "2020-07-02",
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"authors_en": "Werickson Fortunato de Carvalho Rocha, Charles Prado, Niksa Blonder",
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