Evaluation of Eight Models in Predicting Software Weka Potential Evapotranspiration Month for the Next Month in the Synoptic Weather Station Babolsar

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Provided by: Research Trend
Topic: Data Management
Format: PDF
In this paper, the authors have been evaluated the ability of eight models of weka software to estimation "Monthly potential evapotranspiration months later", for Babolsar synoptic weather stations. That is including additive regression, bagging, and linear regression, Zero, M5P, Kstar, M5Rules and REPTree. The data used in this paper, are the average monthly data of Babolsar weather station, including: "Average temperature", "Sunshine hours", "Dew point", "Relative humidity", "Average wind speed" and "Saturation vapor pressure deficit" in forty-six-year period from 1960 to 2005 AD.
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