Improving generalization of artificial neural networks in rainfall-runoff modelling

Hydrological Sciences Journal

Volumn 50, Issue 3, 2005, Pages 439-457

  Giustolisi, O ^a   Laucelli, D ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

Artificial neural networks; Avoiding overfitting techniques; Data driven modelling; Rainfall runoff modelling

Indexed keywords

ALGORITHMS; CATCHMENTS; DATA ACQUISITION; DRAINAGE; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; RAIN; SPURIOUS SIGNAL NOISE;

DATA QUALITY; NON-GAUSSIAN DATA NOISE; RAINFALL-RUNOFF MODELING;

RUNOFF;

ARTIFICIAL NEURAL NETWORK; HYDROLOGICAL MODELING; PARAMETERIZATION; RAINFALL-RUNOFF MODELING;

EID: 20844456071     PISSN: 02626667     EISSN: None     Source Type: Journal    
DOI: 10.1623/hysj.50.3.439.65025     Document Type: Article

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