Input features and parameters optimization improved the prediction accuracy of support vector regression models based on colorimetric sensor data for detection of aflatoxin B1 in corn

A new method for quantitative detection of aflatoxin B1 (AFB1) in corn based on colorimetric sensor technology was proposed in this study. The characteristic color component combination of the colorimetric sensor was effectively mined by the SRCFS-SVR algorithm, and the PSO-SVR model based on the op...

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Veröffentlicht in:	Microchemical journal Jg. 178; S. 107407
Hauptverfasser:	Liu, Tao, Jiang, Hui, Chen, Quansheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2022
Schlagworte:	Aflatoxin B1 Characteristics of the optimization Colorimetric sensor Corn Support vector machine Corn Aflatoxin B1 Support vector machine Colorimetric sensor Characteristics of the optimization
ISSN:	0026-265X
Online-Zugang:	Volltext
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