Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach

Journal of Hydrology

Volumn 493, Issue , 2013, Pages 57-67

  Nayak, P C ^a   Venkatesh, B ^b   Krishna, B ^a   Jain, Sharad K ^c  

^a NATIONAL INSTITUTE OF HYDROLOGY   (India)

^b NIH   (India)

^c National Institute of Hydrology   (United Kingdom)

Author keywords

Flow modeling; NAM model; Wavelet decomposition; WNN model

Indexed keywords

EFFICIENCY COEFFICIENT; FLOW MODELING; OPTIMUM ARCHITECTURES; RAINFALL-RUNOFF MODELING; RAINFALL-RUNOFF MODELS; ROOT MEAN SQUARED ERRORS; STANDARD NEURAL NETWORK MODELS; WAVELET NEURAL NETWORKS;

DIGITAL STORAGE; FLOW CONTROL; NEURAL NETWORKS; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

RAIN;

CONCEPTUAL FRAMEWORK; DATABASE; DECOMPOSITION ANALYSIS; DISCHARGE; ERROR ANALYSIS; FLOW MODELING; HYDROGRAPH; RAINFALL-RUNOFF MODELING; RIVER FLOW; WAVELET ANALYSIS;

INDIA; KARNATAKA; MALAPRABHA BASIN;

EID: 84877830096     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.04.016     Document Type: Article

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