comparison of regression tree, artificial neural network and hargrives-samani in estimation of reference evapotranspiration in semi region
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abstract
the purpose of this study was to evaluate three models of artificial neural networks (ann), regression trees (m5) and hargrives-samani (hg) in estimation of reference evapotranspiration. for this purpose was used climate information of sistan va baloochestan, kerman, yazd and khorasan jonoobi from 1998 to 2008. in addition to effect of wind (u) on evapotranspiration (et0), estimation of et0 was done based on wind change in tree groups including u
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Journal title:
مدیریت آب و آبیاریجلد ۴، شماره ۲، صفحات ۱۴۹-۱۶۰
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