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    Neuro-Fuzzy GMDH-Based Evolutionary Algorithms to Predict Flow Discharge in Straight Compound Channels 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 012
    Author(s): Mohammad Najafzadeh; Abdolreza Zahiri
    Publisher: American Society of Civil Engineers
    Abstract: In this study, neuro-fuzzy-based group method of data handling (NF-GMDH) as an adaptive learning network is used to predict the flow discharge in straight compound channels. The NF-GMDH network is developed by using the ...
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    Closure to “Improved Shiono and Knight Method for Overflow Modeling” by Hossien Kordi, Ramin Amini, Abdolreza Zahiri, and Esmaeil Kordi 

    Source: Journal of Hydrologic Engineering:;2016:;Volume ( 021 ):;issue: 010
    Author(s): Hossien Kordi; Ramin Amini; Abdolreza Zahiri; Esmaeil Kordi
    Publisher: American Society of Civil Engineers
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    Improved Shiono and Knight Method for Overflow Modeling 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 012
    Author(s): Hossien Kordi; Ramin Amini; Abdolreza Zahiri; Esmaeil Kordi
    Publisher: American Society of Civil Engineers
    Abstract: The current study presents an improved Shiono and Knight method (SKM) applying the complete secondary flow term that includes both the dispersion and the transverse convection components, which outspread the SKM solution. ...
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