Uninformative variable elimination for improvement of successive projections algorithm on spectral multivariable selection with different calibration algorithms for the rapid and non-destructive determination of protein content in dried laver

2011 ◽  
Vol 3 (8) ◽  
pp. 1790 ◽  
Author(s):  
Di Wu ◽  
Xiaojing Chen ◽  
Xiangou Zhu ◽  
Xiaochun Guan ◽  
Guichu Wu
Keyword(s):  
Protein Content ◽  
Successive Projections Algorithm ◽  
Variable Elimination ◽  
Dried Laver ◽  
Uninformative Variable Elimination ◽  
Non Destructive ◽  
Successive Projections

A combination algorithm for variable selection to determine soluble solid content and firmness of pears

2014 ◽  
Vol 6 (7) ◽  
pp. 2170-2180 ◽  
Author(s):  
Jiangbo Li ◽  
Chunjiang Zhao ◽  
Wenqian Huang ◽  
Chi Zhang ◽  
Yankun Peng
Keyword(s):  
Monte Carlo ◽  
Variable Selection ◽  
Solid Content ◽  
New Combination ◽  
Soluble Solid Content ◽  
Successive Projections Algorithm ◽  
Variable Elimination ◽  
Soluble Solid ◽  
Uninformative Variable Elimination ◽  
Successive Projections

A new combination of Monte Carlo-uninformative variable elimination and the successive projections algorithm (MC-UVE-SPA) was proposed to select the most effective variables.

Determination of fat content in chicken hamburgers using NIR spectroscopy and the Successive Projections Algorithm for interval selection in PLS regression ( i SPA-PLS)

2018 ◽  
Vol 189 ◽  
pp. 300-306 ◽  
Author(s):  
Gabriela Krepper ◽  
Florencia Romeo ◽  
David Douglas de Sousa Fernandes ◽  
Paulo Henrique Gonçalves Dias Diniz ◽  
Mário César Ugulino de Araújo ◽  
...  
Keyword(s):  
Nir Spectroscopy ◽  
Fat Content ◽  
Pls Regression ◽  
Successive Projections Algorithm ◽  
Interval Selection ◽  
Successive Projections
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