Artificial neural networks for daily rainfall-runoff modelling

The application of artificial neural network (ANN) methodology for modelling daily flows during monsoon flood events for a large size catchment of the Narmada River in Madhya Pradesh (India) is presented. The spatial variation of rainfall is accounted for by subdividing the catchment and treating th...

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Veröffentlicht in:	Hydrological sciences journal 2002-12, Vol.47 (6), p.865-877
Hauptverfasser:	RAJURKAR, M. P., KOTHYARI, U. C., CHAUBE, U. C.
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial neural network Earth sciences Earth, ocean, space Exact sciences and technology Hydrology Hydrology. Hydrogeology India, Madhya Pradesh, Narmada R modèles entrées multiples-sortie unique modèles non-linéaires modélisation pluie-débit multiple-input single-output models nonlinear models rainfall-runoff modelling réseau de neurones artificiel
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