Combining the genetic algorithm and successive projection algorithm for the selection of feature wavelengths to evaluate exudative characteristics in frozen–thawed fish muscle

•Hyperspectral imaging was used to predict drip loss in frozen–thawed fish.•Five key wavelengths were selected by combination of GA and SPA.•GA–SPA–LS-SVM and GA–SPA–MLR models showed satisfactory performances.•The distribution maps of drip loss were generated. The potential use of feature wavelengt...

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Vydané v:	Food chemistry Ročník 197; číslo Pt A; s. 855 - 863
Hlavní autori:	Cheng, Jun-Hu, Sun, Da-Wen, Pu, Hongbin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 15.04.2016
Predmet:	Algorithms Animals Carps chemometrics Ctenopharyngodon idella drip loss Equipment Design exudation fish Food Analysis - instrumentation Food Analysis - methods Food Preservation Food Quality Frozen–thawed Grass carp hyperspectral imagery least squares Least-Squares Analysis Linear Models LS-SVM Models, Theoretical multispectral imagery Multispectral imaging Multivariate Analysis muscles Muscles - chemistry prediction Seafood - analysis Seafood - standards selection methods Spectroscopy, Near-Infrared Support Vector Machine support vector machines Variable selection wavelengths Multispectral imaging Grass carp LS-SVM Frozen–thawed Variable selection
ISSN:	0308-8146, 1873-7072
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