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    Modeling and Prediction of Hourly Ambient Ozone (O3) and Oxides of Nitrogen (NOx) Concentrations Using Artificial Neural Network and Decision Tree Algorithms for an Urban Intersection in India

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2016:;Volume ( 020 ):;issue: 004
    Author:
    Chandrra Sekar
    ,
    C. S. P. Ojha
    ,
    B. R. Gurjar
    ,
    Manish Kumar Goyal
    DOI: 10.1061/(ASCE)HZ.2153-5515.0000270
    Publisher: American Society of Civil Engineers
    Abstract: The present study attempts to predict hourly ozone (
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      Modeling and Prediction of Hourly Ambient Ozone (O3) and Oxides of Nitrogen (NOx) Concentrations Using Artificial Neural Network and Decision Tree Algorithms for an Urban Intersection in India

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    http://yetl.yabesh.ir/yetl1/handle/yetl/73261
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    • Journal of Hazardous, Toxic, and Radioactive Waste

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    contributor authorChandrra Sekar
    contributor authorC. S. P. Ojha
    contributor authorB. R. Gurjar
    contributor authorManish Kumar Goyal
    date accessioned2017-05-08T22:11:51Z
    date available2017-05-08T22:11:51Z
    date copyrightOctober 2016
    date issued2016
    identifier other39446657.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/73261
    description abstractThe present study attempts to predict hourly ozone (
    publisherAmerican Society of Civil Engineers
    titleModeling and Prediction of Hourly Ambient Ozone (O3) and Oxides of Nitrogen (NOx) Concentrations Using Artificial Neural Network and Decision Tree Algorithms for an Urban Intersection in India
    typeJournal Paper
    journal volume20
    journal issue4
    journal titleJournal of Hazardous, Toxic, and Radioactive Waste
    identifier doi10.1061/(ASCE)HZ.2153-5515.0000270
    treeJournal of Hazardous, Toxic, and Radioactive Waste:;2016:;Volume ( 020 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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