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Quantitative analysis of multi-component adulteration in camellia oil by near-infrared spectroscopy combined with long short-term memory neural networks algorithm

Jian Zhao, Ruoni Wang, Ziqi Zhang, Yue Yu, Z.Y. Ren, Yue Huang, Zhanming Li

2025Journal of Food Composition and Analysis7 citationsDOI

Topics & Concepts

CamelliaRapeseedArtificial intelligenceArtificial neural networkConvolutional neural networkMathematicsPattern recognition (psychology)Computer scienceResidualEdible oilGeneralizationSample (material)Camellia oleiferaVegetable oilBiological systemAlgorithmQuantitative analysis (chemistry)Coefficient of determinationLinseed oilMachine learningPartial least squares regressionFood scienceDeep learningCorrelation coefficientMean squared errorSpectroscopy and Chemometric AnalysesEdible Oils Quality and AnalysisAdvanced Chemical Sensor Technologies
Quantitative analysis of multi-component adulteration in camellia oil by near-infrared spectroscopy combined with long short-term memory neural networks algorithm | Litcius