Estimating Periodic Thermal Properties with Artificial Intelligence
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Bienvenido Huertas, David; Rubio Bellido, Carlos
Date
2021Unesco Subject/s
Abstract
This chapter aims to develop a mathematical model through MLP and RF to estimate the periodic thermal properties of ISO 13786 through in situ measured variables. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
This chapter aims to develop a mathematical model through MLP and RF to estimate the periodic thermal properties of ISO 13786 through in situ measured variables. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.