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Information Journal Paper

Title

Discussion of “ Simulation and Comparison of Potential Evapotranspiration by Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Decision Making Tree M5 (Case Study: Synoptic Station of Shiraz)”

Pages

  92-97

Abstract

 In this paper, the paper entitled “ Simulation and Comparison of Potential Evapotranspiration by Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Decision Making Tree M5 (Case Study: Synoptic Station of Shiraz)” by Elaheh Zoratipur, Lamia Neisi, Azam Bazaz and Amin Zoratipur; Iran-Water Resources Research (Spring 2019, Vol. 15, No. 1, Pages 365 to 371), is discussed. After a brief introduction about the importance of the topic, the advantages and disadvantages of the issue are discussed.

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    APA: Copy

    Ahmadpari, Hedieh, Ganji, Najmeh, Eskafi Noghany, Mohsen, & BINESH, SAHAR. (2020). Discussion of “ Simulation and Comparison of Potential Evapotranspiration by Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Decision Making Tree M5 (Case Study: Synoptic Station of Shiraz)”. JOURNAL OF SCIENCE AND ENGINEERING ELITES, 5(3 ), 92-97. SID. https://sid.ir/paper/363823/en

    Vancouver: Copy

    Ahmadpari Hedieh, Ganji Najmeh, Eskafi Noghany Mohsen, BINESH SAHAR. Discussion of “ Simulation and Comparison of Potential Evapotranspiration by Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Decision Making Tree M5 (Case Study: Synoptic Station of Shiraz)”. JOURNAL OF SCIENCE AND ENGINEERING ELITES[Internet]. 2020;5(3 ):92-97. Available from: https://sid.ir/paper/363823/en

    IEEE: Copy

    Hedieh Ahmadpari, Najmeh Ganji, Mohsen Eskafi Noghany, and SAHAR BINESH, “Discussion of “ Simulation and Comparison of Potential Evapotranspiration by Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Decision Making Tree M5 (Case Study: Synoptic Station of Shiraz)”,” JOURNAL OF SCIENCE AND ENGINEERING ELITES, vol. 5, no. 3 , pp. 92–97, 2020, [Online]. Available: https://sid.ir/paper/363823/en

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