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    An Air Balancing Method Using Multi-Layer Feed-Forward Network

    New search for: Zhang, Xin
    New search for: Cui, Can
    New search for: Cai, Wen-Jian
    New search for: Cai, Hui
    New search for: Jing, Gang

    In this chapter, a multi-layer feed-forward network (MLFFN) based data-driven air balancing control strategy for demand-controlled ventilation (DCV) system is presented to do the energy-saving job.

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    An Air Balancing Method Using Multi-Layer Feed-Forward Network

    New search for: Zhang, Xin
    New search for: Cui, Can
    New search for: Cai, Wen-Jian
    New search for: Cai, Hui
    New search for: Jing, Gang

    In this chapter, a multi-layer feed-forward network (MLFFN) based data-driven air balancing control strategy for demand-controlled ventilation (DCV) system is presented to do the energy-saving job.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    An Air Balancing Method Using Multi-Layer Feed-Forward Network

    New search for: Zhang, Xin
    New search for: Cui, Can
    New search for: Cai, Wen-Jian
    New search for: Cai, Hui
    New search for: Jing, Gang

    In this chapter, a multi-layer feed-forward network (MLFFN) based data-driven air balancing control strategy for demand-controlled ventilation (DCV) system is presented to do the energy-saving job.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

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    Document information
    Title:

    An Air Balancing Method Using Multi-Layer Feed-Forward Network

    Contributors:

    Zhang, Xin (author) / Cui, Can (author) / Cai, Wen-Jian (author) / Cai, Hui (author) / Jing, Gang (author)

    Published in:

    Principle, Design and Optimization of Air Balancing Methods for the Multi-zone Ventilation Systems in Low Carbon Green Buildings ; Chapter: 6 ; 93-112

    Publication date:

    2022-10-18

    Size:

    20 pages

    ISBN:

    978-981-19-7091-7 , 978-981-19-7090-0

    DOI:

    https://doi.org/10.1007/978-981-19-7091-7_6

    Type of media:

    Article/Chapter (Book)

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Energy , Sustainable Architecture/Green Buildings , Control, Robotics, Mechatronics , Computational Intelligence , Engineering

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