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Gaussian process regression
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This article introduces a Gaussian process regression using machine learning approach to predict the behavior of reinforced fly ash concrete (RFAC) columns in the form of axial load (N) - midheight lateral displacement (∆) relation curve.
14p
vimclaren
12-10-2022
8
2
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A Gaussian process regression (GPR) model for predicting the bond strength of FRP-to-concrete is proposed in this study. Published single-lap shear test specimens are used to predict the bond strength of externally bonded FRP systems adhered to concrete prisms.
12p
viaudi
29-08-2022
9
3
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The purpose of this paper is to forecast monthly gasoline prices in Jordan by applying Gaussian process regression on monthly prices of two types of gasoline (octane-90 and octane-95) during the period January 2008–December 2019. Accurately predicting gasoline prices have several fiscal policy implications concerning fuel subsidies and taxes. Also, they affect the consumption and the production of decisions. Moreover, they are crucial for designing and analyzing environmental policies.
8p
caygaocaolon11
18-04-2021
10
1
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