Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 1555-1564

  Park, Jong I ^a   Liu, Lu ^b   Philip Ye, X ^b   Jeong, Myong K ^c   Jeong, Young Seon ^c  

^a Reliability Technology Center   (South Korea)

^b UNIVERSITY OF TENNESSEE   (United States)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

Fourier transform near infrared spectra; Kernel partial least squares regression; Kernel ridge regression; Reproducing kernel Hilbert space; Vertical energy thresholding technique; Wavelet transform

Indexed keywords

KERNEL PARTIAL LEAST SQUARES REGRESSION; NEAR INFRARED SPECTRA; REPRODUCING KERNEL HILBERT SPACES; RIDGE REGRESSION; THRESHOLDING TECHNIQUES;

CHEMICAL PROPERTIES; FORECASTING; INFRARED DEVICES; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEAR INFRARED SPECTROSCOPY; REAL TIME CONTROL; REGRESSION ANALYSIS;

WAVELET TRANSFORMS;

EID: 81855221757     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.05.012     Document Type: Article

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