Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared (Vis-NIR) hyperspectral imaging

Published 2019 View Full Article

Authors

Keywords

Beef adulteration, Invasive weed optimization, Least squares support vector machine, Extreme learning machine, Variable selection

Journal

MEAT SCIENCE

Volume 151, Issue -, Pages 75-81

Publisher

Elsevier BV

Online

2019-01-30

DOI

10.1016/j.meatsci.2019.01.010

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