Chemometrics or multivariate analysis consists in finding a relationship between two groups of variables often called dependent and independent variables in infrared spectroscopy for instance chemometrics consists in the prediction of a quantitative variable the obtention of which is delicate requiring a chemical analysis and a qualified . Huan zhao ke wei huan xiao guang shi feng zheng li ying liu wei liu and chun ying zhao a variable selection method of near infrared spectroscopy based on automatic weighting variable combination population analysis chinese journal of analytical chemistry 46 1 136 2018. Variables selection methods in near infrared spectroscopy variable elimination uve elaborate search based strategies such as simulated annealing sa artificial neural networks ann and genetic algorithms the importance of variable selection in nir spectroscopy is given in section 2 based on different viewpoints. Feature selection based convolutional neural network pruning and its application in calibration modeling for nir spectroscopy near infrared nir spectroscopy technology and chemometrics have been successfully applied in many fields such as agriculture medicine environment etc because it has the advantages of rapid speed low cost and . Chemometric calibration of infrared spectrometers selection and validation of variables by non linear models for the selection of spectral variables using linear regression or neural networks and based on an objective validation external of the calibration model this validation is carried out on data that are independent from those
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