Near-Infrared data classification at phone terminal based on the combination of PCA and CS-RBFSVC algorithms

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy（2022）

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摘要

•A method for classifying NIR data at mobile phone was developed for the first time.•It was accomplished low-cost and accurately by combining PCA and CS-RBFSVC model.•The dimension of raw data was reduced by PCA for less calculation.•Cuckoo Search algorithm was introduced into RBFSVC to improve accuracy.•The method was proven by 738 drug samples in different types and manufacturers.

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关键词

NIR spectroscopy,APP,Support Vector Classifier,Cuckoo Search algorithm,Principal Component Analysis

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