"Using Gaussian Process Regression (GPR) models with the Matérn ..."

Xiaohong Dai et al. (2023)

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DOI: 10.1016/J.ENGAPPAI.2023.106107

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type: Journal Article

metadata version: 2024-10-06

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Xiaohong Dai, Hamid Taheri Andani, As'ad Alizadeh, Azher M. Abed, Ghassan Fadhil Smaisim, Hamad Karem Hadrawi, Maryam Karimi, Mahmoud Shamsborhan, Davood Toghraie:
Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach. Eng. Appl. Artif. Intell. 122: 106107 (2023)

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