Development of effective and efficient rainfall-runoff models using integration of deterministic, real-coded genetic algorithms and artificial neural network techniques

Many researchers have reported about the problems in modeling low‐magnitude flows while developing artificial neural network (ANN) rainfall‐runoff models trained using popular back propagation (BP) method and have suggested the use of alternative training methods. This paper presents the results of...

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Veröffentlicht in:	Water resources research Jg. 40; H. 4
Hauptverfasser:	Jain, Ashu, Srinivasulu, Sanaga
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Blackwell Publishing Ltd 01.04.2004
Schlagworte:	artificial neural networks conceptual rainfall-runoff models deterministic techniques genetic algorithms optimization rainfall-runoff modeling USA, Kentucky, Kentucky R USA, Kentucky
ISSN:	0043-1397, 1944-7973
Online-Zugang:	Volltext
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