Improving the prediction performance of PLSR using RReliefF and FSD for the quantitative analysis of glucose in Near Infrared spectra

2015 ◽  
Author(s):  
Krishna Chaitanya Patchava ◽  
Mohammed Benaissa ◽  
Hatim Behairy
Keyword(s):  
Quantitative Analysis ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Prediction Performance ◽  
Near Infrared Spectra

Quantitative Analysis of Cotton—Polyester Textile Blends from Near-Infrared Spectra

2006 ◽  
Vol 60 (5) ◽  
pp. 539-544 ◽  
Author(s):  
C. Ruckebusch ◽  
F. Orhan ◽  
A. Durand ◽  
T. Boubellouta ◽  
J. P. Huvenne
Keyword(s):  
Quantitative Analysis ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Near Infrared Spectra ◽  
Polyester Textile

scholarly journals Local linear embedded regression in the quantitative analysis of glucose in near infrared spectra

2015 ◽  
Vol 7 (4) ◽  
pp. 1484-1492 ◽  
Author(s):  
Krishna Chaitanya Patchava ◽  
Mohammed Benaissa ◽  
Bilal Malik ◽  
Hatim Behairy
Keyword(s):  
Quantitative Analysis ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Local Linear ◽  
Near Infrared Spectra

This paper investigates the use of local linear embedded regression in the context of determination of glucose from NIR spectra.

The application of fourier-transformed near-infrared spectra to quantitative analysis by comparison of similarity indices (CARNAC)

1988 ◽  
Vol 94 (1-6) ◽  
pp. 61-64 ◽  
Author(s):  
Anthony M. C. Davies ◽  
Heather V. Britcher ◽  
Jeremy G. Franklin ◽  
Susan M. Ring ◽  
Alex Grant ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Infrared Spectra ◽  
Near Infrared ◽  
Near Infrared Spectra ◽  
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