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    Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings

    New search for: Rubio-Bellido, Carlos

    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.

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    Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings

    New search for: Rubio-Bellido, Carlos

    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.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings

    New search for: Rubio-Bellido, Carlos

    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.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

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    Document information
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    Title:

    Analysing with Artificial Intelligence Other Approaches to Experimental Thermal Characterization in the Existing Buildings

    Additional title:

    SpringerBriefs in Applied Sciences

    Contributors:

    Bienvenido-Huertas, David (author) / Rubio-Bellido, Carlos (author)

    Published in:

    Optimization of the Characterization of the Thermal Properties of the Building Envelope ; Chapter: 6 ; 67-72

    SpringerBriefs in Applied Sciences and Technology

    Publication date:

    2020-11-21

    Size:

    6 pages

    ISBN:

    978-3-030-63629-6 , 978-3-030-63628-9

    ISSN:

    2191-5318 , 2191-530X

    DOI:

    https://doi.org/10.1007/978-3-030-63629-6_6

    Type of media:

    Article/Chapter (Book)

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Energy , Sustainable Architecture/Green Buildings , Engineering Thermodynamics, Heat and Mass Transfer , Building Construction and Design , Engineering

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