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Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling

S Kim, HS Kim - Journal of hydrology, 2008 - Elsevier
The purpose of this study is to develop and apply the generalized regression neural
networks model (GRNNM) embedding the genetic algorithm (GA) in order to estimate and
calculate the pan evaporation (PE) and the alfalfa reference evapotranspiration (ETr),
Republic of Korea. Since the observed data of the alfalfa ETr using lysimeter have not been
measured for a long period, Penman–Monteith (PM) method was used to estimate the
observed alfalfa ETr. The COMBINE-GRNNM-GA (Type-1) was developed to calculate a …
被引用次数：299 相关文章 所有 8 个版本

Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling.

KSW Kim SungWon, KHS Kim HungSoo - 2008 - cabidigitallibrary.org
The purpose of this study is to develop and apply the generalized regression neural
networks model (GRNNM) embedding the genetic algorithm (GA) in order to estimate and
calculate the pan evaporation (PE) and the alfalfa reference evapotranspiration (ETr),
Republic of Korea. Since the observed data of the alfalfa ETr using lysimeter have not been
measured for a long period, Penman-Monteith (PM) method was used to estimate the
observed alfalfa ETr. The COMBINE-GRNNM-GA (Type-1) was developed to calculate a …
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