About: Incorporating basic hydrological concepts into genetic programming for rainfall-runoff forecasting

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper focuses on improving rainfall-runoff forecasts by a combination of genetic programming (GP) and basic hydrological modelling concepts. GP is a general optimisation technique formaking an automated search of a computer program that solves some particular problem. The SORD! program was developed for the purposes of this study (in the R programming language). It is an implementation of canonical GP. Special functions are used for a combined approach of hydrological concepts and GP. The special functions are a reservoir model, a simple moving average model, and a cumulative sum and delay operator. The efficiency of the approach presented here is tested on runoff predictions for five catchments of various sizes. The input data consists of daily rainfall and runoff series. The forecast step is one day. The performance of the proposed approach is compared with the results of the artificial neural network model (ANN) and with the GP model without special functions. GP combined with these This paper focuses on improving rainfall-runoff forecasts by a combination of genetic programming (GP) and basic hydrological modelling concepts. GP is a general optimisation technique formaking an automated search of a computer program that solves some particular problem. The SORD! program was developed for the purposes of this study (in the R programming language). It is an implementation of canonical GP. Special functions are used for a combined approach of hydrological concepts and GP. The special functions are a reservoir model, a simple moving average model, and a cumulative sum and delay operator. The efficiency of the approach presented here is tested on runoff predictions for five catchments of various sizes. The input data consists of daily rainfall and runoff series. The forecast step is one day. The performance of the proposed approach is compared with the results of the artificial neural network model (ANN) and with the GP model without special functions. GP combined with these (en)
Title	Incorporating basic hydrological concepts into genetic programming for rainfall-runoff forecasting Incorporating basic hydrological concepts into genetic programming for rainfall-runoff forecasting (en)
skos:prefLabel	Incorporating basic hydrological concepts into genetic programming for rainfall-runoff forecasting Incorporating basic hydrological concepts into genetic programming for rainfall-runoff forecasting (en)
skos:notation	RIV/60460709:41330/13:66712!RIV15-MSM-41330___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Hanel, Martin Pech, Pavel Kuráž, Michal Máca, Petr Havlíček, Vojtěch
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Česká zemědělská univerzita v Praze / Fakulta životního prostředí
http://linked.open...dnocenehoVysledku	21142
http://linked.open...ai/riv/idVysledku	RIV/60460709:41330/13:66712
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Evolutionary algorithms, Genetic programming, Hydrology, Rainfall-runoff modelling, Runoff forecast (en)
http://linked.open.../riv/klicoveSlovo	Runoff forecast Genetic programming Evolutionary algorithms Rainfall-runoff modelling Hydrology
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[0C50304CB0E1]
http://linked.open...i/riv/nazevZdroje	COMPUTING
http://linked.open...in/vavai/riv/obor	DA
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	95
http://linked.open...iv/tvurceVysledku	Hanel, Martin Máca, Petr Pech, Pavel Havlíček, Vojtěch Kuráž, Michal
http://linked.open...ain/vavai/riv/wos	000338630100021
issn	0010-485X
number of pages	18 (xsd:int)
http://localhost/t...ganizacniJednotka	41330

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