Abstract Taking adulterated milk as the research object, the principal component analysis method combined with long short-term memory network was used to study, aiming to find a simple and efficient… Click to show full abstract
Abstract Taking adulterated milk as the research object, the principal component analysis method combined with long short-term memory network was used to study, aiming to find a simple and efficient rapid detection method for adulterated milk. In this paper, qualitative and quantitative analysis of adulterated milk was carried out based on near-infrared hyperspectral data (400–1000 nm). The experimental results verified the feasibility of using near-infrared hyperspectral technology to identify adulterated milk.
Keywords:
memory network;
adulterated milk;
term memory;
milk;
long short;
short term
Journal Title: Spectroscopy Letters
Year Published: 2023
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Journal Title: Spectroscopy Letters
Year Published: 2023
Link to full text (if available)
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recommendations!