Enhancing Laser-Induced Breakdown Spectroscopy Quantification Through Minimum Redundancy and Maximum Relevance-Based Feature Selection

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Pubblicato in:	Remote Sensing vol. 17, no. 3 (2025), p. 416
Autore principale:	Wang, Manping
Altri autori:	Lu, Yang, Liu, Man, Cui, Fuhui, Gao, Rongke, Wang, Feifei, Chen, Xiaozhe, Yu, Liandong
Pubblicazione:	MDPI AG
Soggetti:	Feature extraction Accuracy Datasets Adaptive sampling Regression analysis Back propagation networks Least squares method Data processing Feature selection Data analysis Prediction models Spectroscopy Adaptability Redundancy Neural networks Spectrum analysis Support vector machines Effectiveness Variables Quantitative analysis Algorithms Laser induced breakdown spectroscopy Methods Mars
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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