Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach
Date
2019Author
Mehdizadeh, S.
Fathian, F.
Safari, M.J.S.
Adamowski, J.F.
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River flow rates are important for water resources projects. Given this, the current study explored the use of autoregressive (AR) and moving average (MA) techniques as individual time series models and compared them to the same models hybridized with an
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