Details

Autor(en) / Beteiligte

• Li, Xin
• Liu, Jiangping

Titel

Analysis of adulterated milk based on a long short-term memory network

Ist Teil von

• Spectroscopy letters, 2023-04, Vol.56 (4), p.204-210

Ort / Verlag

Abingdon: Taylor & Francis

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Taylor & Francis

Beschreibungen/Notizen

• 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.