Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings
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 mathematical models based on MLP and RF that optimize the experimental methods to characterize the thermal transmittance. In particular, the models developed address the possibility of eliminating the error related to the theoretical formulation of THM.
Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings
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 mathematical models based on MLP and RF that optimize the experimental methods to characterize the thermal transmittance. In particular, the models developed address the possibility of eliminating the error related to the theoretical formulation of THM.
Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings
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 mathematical models based on MLP and RF that optimize the experimental methods to characterize the thermal transmittance. In particular, the models developed address the possibility of eliminating the error related to the theoretical formulation of THM.
Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings
SpringerBriefs in Applied Sciences
Bienvenido-Huertas, David (Autor:in) / Rubio-Bellido, Carlos (Autor:in)
21.11.2020
6 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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