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
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