2020
DOI: 10.1016/j.ijleo.2020.164950
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Near-infrared prediction of edible oil frying times based on Bayesian Ridge Regression

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Cited by 18 publications
(7 citation statements)
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“…These methods above all need the participating of professionals and expensive instruments. Recent studies 17 , 24 construct regression models to automatically predict carbonyl value of frying oil given time value. Although the models of Liu et al 17 , 24 show great performance, their model can only function at a fixed temperature due to the limit of regression methods they used.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These methods above all need the participating of professionals and expensive instruments. Recent studies 17 , 24 construct regression models to automatically predict carbonyl value of frying oil given time value. Although the models of Liu et al 17 , 24 show great performance, their model can only function at a fixed temperature due to the limit of regression methods they used.…”
Section: Discussionmentioning
confidence: 99%
“…In order to determine these metrics, researchers have proposed various methods. Column chromatography 17 is frequently used to detect TPC content in frying oil. While being accurate, the detection process is time-consuming and has to be done by experts 18 .…”
Section: Introductionmentioning
confidence: 99%
“…In addition to the LSTM neural network method, several other ML methods, i.e., Bayesian Ridge Regression (BRR), Gradient Boosted Decision Tree (GBDT), Linear Regression (LR) and Support Vector Regression (SVR), are used in this research as a comparison group. BRR, based on Bayesian knowledge, is aimed to solve the problem of multicollinearity in linear regression, and to serve the purpose of estimating regression coefficients and selecting variables [94]. GBDT is a suitable method for classification and regression problems, which uses decision stumps or regression tress as weak classifiers [95].…”
Section: Methodsmentioning
confidence: 99%
“…This information can be revealed by a specific method which is called chemometrics. It is the use of mathematical and statistical methods like regression, normalization, and validation to correlate the spectral data with actual reference-quality parameters measured using standard laboratory procedures [8,35].…”
Section: Spectra Features Of Cocoa Beanmentioning
confidence: 99%