Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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im Juli 2014 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована в липні 2014

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Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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P1476

Ensemble Regression Coefficient Analysis for Application to Near-Infrared Spectroscopy

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P2093

Huilian Hu

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Kaiyi Zheng

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Peijin Tong

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Yiping Du

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P2860

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Determination of alpha-linolenic acid and linoleic acid in edible oils using near-infrared spectroscopy improved by wavelet transform and uninformative variable elimination.

Quantitative analysis of routine chemical constituents in tobacco by near-infrared spectroscopy and support vector machine.

Noise incorporated subwindow permutation analysis for informative gene selection using support vector machines.

Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: a case study to determine soluble solids content of beer.

Random subspace regression ensemble for near-infrared spectroscopic calibration of tobacco samples.

P304

2238-2254

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P31

scholarly article

P356

10.1080/00032719.2014.900776

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P433

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P478

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P577

2014-07-28T00:00:00Z

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P921

infrared spectroscopy