Estimation of Stationary Thermal Properties with Artificial Intelligence

Bienvenido Huertas, David
Rubio Bellido, Carlos

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Publication date

January 2021

DOI

10.1007/978-3-030-63629-6_4

Publisher

Springer Science and Business Media LLC

Abstract

This chapter aims to develop a mathematical model by using MLP and RF to estimate the thermal transmittance of ISO 6946 (U6946) through in situ measured variables. For this purpose, the scheme of variables of HFM and THM is used. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG

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Estimation of Stationary Thermal Properties with Artificial Intelligence

Abstract

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Estimation of Stationary Thermal Properties with Artificial Intelligence

Abstract

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