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...

Celý popis

Podrobná bibliografie

Vydáno v:	Water resources research Ročník 40; číslo 4
Hlavní autoři:	Jain, Ashu, Srinivasulu, Sanaga
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Blackwell Publishing Ltd 01.04.2004
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!