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    Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran 

    Source: Journal of Irrigation and Drainage Engineering:;2020:;Volume ( 146 ):;issue: 006
    Author(s): Afshin Ashrafzadeh; Ozgur Kişi; Pouya Aghelpour; Seyed Mostafa Biazar; Mohammadreza Askarizad Masouleh
    Publisher: ASCE
    Abstract: Evapotranspiration estimation and forecasting is a key step in water management projects, especially in water-scarce countries such as Iran. Seasonal autoregressive integrated moving average (SARIMA), support vector machine ...
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