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    Calibration for Wastewater Treatment Modeling: Hybrid Approaches Combining Fuzzy Logic, Reinforcement Learning, and Particle Swarm Optimization

    Source: Journal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 005::page 04026012-1
    Author:
    Zhang, Yang
    ,
    Liu, Jipeng
    ,
    Niu, Qinwang
    ,
    Wang, Xiaojian
    ,
    Yang, Kun
    DOI: 10.1061/JOEEDU.EEENG-8427
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn this paper, novel calibration approaches are proposed for modeling wastewater treatment processes. The benchmark simulation model has been widely adopted to represent the integrated activated sludge and sedimentation processes. However, this ...
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      Calibration for Wastewater Treatment Modeling: Hybrid Approaches Combining Fuzzy Logic, Reinforcement Learning, and Particle Swarm Optimization

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312869
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    • Journal of Environmental Engineering

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    contributor authorZhang, Yang
    contributor authorLiu, Jipeng
    contributor authorNiu, Qinwang
    contributor authorWang, Xiaojian
    contributor authorYang, Kun
    date accessioned2026-08-20T11:56:15Z
    date available2026-08-20T11:56:15Z
    date copyright2026/02/23
    date issued2026
    identifier otherJOEEDU.EEENG-8427.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312869
    description abstractAbstractIn this paper, novel calibration approaches are proposed for modeling wastewater treatment processes. The benchmark simulation model has been widely adopted to represent the integrated activated sludge and sedimentation processes. However, this ...
    publisherAmerican Society of Civil Engineers
    titleCalibration for Wastewater Treatment Modeling: Hybrid Approaches Combining Fuzzy Logic, Reinforcement Learning, and Particle Swarm Optimization
    typeJournal Article
    journal volume152
    journal issue5
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/JOEEDU.EEENG-8427
    journal fristpage04026012-1
    journal lastpage04026012-12
    page12
    treeJournal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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