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Estimation of Stationary Thermal Properties with Artificial Intelligence
https://orcid.org/https://orcid.org/0000-0003-0716-8589
https://orcid.org/https://orcid.org/0000-0001-6719-8793
This chapter aims to develop a mathematical model by using MLP and RF to estimate the thermal transmittance of ISO 6946 (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${U}_{6946}$$\end{document}) through in situ measured variables. For this purpose, the scheme of variables of HFM and THM is used.
Estimation of Stationary Thermal Properties with Artificial Intelligence
https://orcid.org/https://orcid.org/0000-0003-0716-8589
https://orcid.org/https://orcid.org/0000-0001-6719-8793
This chapter aims to develop a mathematical model by using MLP and RF to estimate the thermal transmittance of ISO 6946 (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${U}_{6946}$$\end{document}) through in situ measured variables. For this purpose, the scheme of variables of HFM and THM is used.
Estimation of Stationary Thermal Properties with Artificial Intelligence
https://orcid.org/https://orcid.org/0000-0003-0716-8589
https://orcid.org/https://orcid.org/0000-0001-6719-8793
This chapter aims to develop a mathematical model by using MLP and RF to estimate the thermal transmittance of ISO 6946 (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${U}_{6946}$$\end{document}) through in situ measured variables. For this purpose, the scheme of variables of HFM and THM is used.
Estimation of Stationary Thermal Properties with Artificial Intelligence
SpringerBriefs in Applied Sciences
Bienvenido-Huertas, David (author) / Rubio-Bellido, Carlos (author)
2020-11-21
8 pages
Article/Chapter (Book)
Electronic Resource
English
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