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    Discussion of “Potential Assessment of Neural Network and Decision Tree Algorithms for Forecasting Ambient PM2.5 and CO Concentrations: Case Study” by Chandrra Sekar, B. R. Gurjar, C. S. P. Ojha, and Manish Kumar Goyal

    Source: Journal of Hazardous, Toxic, and Radioactive Waste:;2017:;Volume ( 021 ):;issue: 004
    Author:
    Salar Khani
    ,
    Taher Rajaee
    ,
    Masoud Ravansalar
    DOI: 10.1061/(ASCE)HZ.2153-5515.0000374
    Publisher: American Society of Civil Engineers
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      Discussion of “Potential Assessment of Neural Network and Decision Tree Algorithms for Forecasting Ambient PM2.5 and CO Concentrations: Case Study” by Chandrra Sekar, B. R. Gurjar, C. S. P. Ojha, and Manish Kumar Goyal

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4238816
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    contributor authorSalar Khani
    contributor authorTaher Rajaee
    contributor authorMasoud Ravansalar
    date accessioned2017-12-16T09:07:11Z
    date available2017-12-16T09:07:11Z
    date issued2017
    identifier other%28ASCE%29HZ.2153-5515.0000374.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4238816
    publisherAmerican Society of Civil Engineers
    titleDiscussion of “Potential Assessment of Neural Network and Decision Tree Algorithms for Forecasting Ambient PM2.5 and CO Concentrations: Case Study” by Chandrra Sekar, B. R. Gurjar, C. S. P. Ojha, and Manish Kumar Goyal
    typeJournal Paper
    journal volume21
    journal issue4
    journal titleJournal of Hazardous, Toxic, and Radioactive Waste
    identifier doi10.1061/(ASCE)HZ.2153-5515.0000374
    treeJournal of Hazardous, Toxic, and Radioactive Waste:;2017:;Volume ( 021 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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