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    Closure to “Daily Pan Evaporation Modeling in a Hot and Dry Climate” by J. Piri, S. Amin, A. Moghaddamnia, A. Keshavarz, D. Han, and R. Remesan 

    Source: Journal of Hydrologic Engineering:;2010:;Volume ( 015 ):;issue: 008
    Author(s): Alireza Moghaddamnia; Jamshid Piri; Seifollah Amin; Dawei Han
    Publisher: American Society of Civil Engineers
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    Assessment of Artificial Intelligence–Based Models and Metaheuristic Algorithms in Modeling Evaporation 

    Source: Journal of Hydrologic Engineering:;2019:;Volume ( 024 ):;issue: 010
    Author(s): Mohammad Zounemat-Kermani; Ozgur Kisi; Jamshid Piri; Amin Mahdavi-Meymand
    Publisher: American Society of Civil Engineers
    Abstract: Evaporation (Ep) has a vital importance for the management and development of water resources projects. In this study two scenarios are considered in prediction of monthly pan evaporation. The first scenario challenges the ...
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    Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Shahaboddin Shamshirband; Mohsen Amirmojahedi; Milan Gocić; Shatirah Akib; Dalibor Petković; Jamshid Piri; Slavisa Trajkovic
    Publisher: American Society of Civil Engineers
    Abstract: The ability to optimize an artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in reference evapotranspiration (
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    Closure to “Assessment of Artificial Intelligence–Based Models and Metaheuristic Algorithms in Modeling Evaporation” by Mohammad Zounemat-Kermani, Ozgur Kisi, Jamshid Piri, and Amin Mahdavi-Meymand 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 009:;page 07020015-1
    Author(s): Mohammad Zounemat-Kermani; Ozgur Kisi; Jamshid Piri; Amin Mahdavi-Meymand
    Publisher: ASCE
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    Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Shahaboddin Shamshirband; Mohsen Amirmojahedi; Milan Gocić; Shatirah Akib; Dalibor Petković; Jamshid Piri; Slavisa Trajkovic
    Publisher: American Society of Civil Engineers
    Abstract: The ability to optimize an artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in reference evapotranspiration (ET0) estimation using the cuckoo search algorithm (CSA) is studied in this paper. ...
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