Prediction of discharge in a Tidal river using artificial neural networks

Journal of Hydrologic Engineering

Volumn 19, Issue 8, 2014, Pages

  Hidayat, H ^a,b   Hoitink, A J F ^a   Sassi, M G ^a   Torfs, P J J F ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b INDONESIAN INSTITUTE OF SCIENCES   (Indonesia)

Author keywords

Artificial neural networks; Discharge prediction; Mahakam River; Tidal river

Indexed keywords

DOPPLER EFFECT; FORECASTING; INPUT OUTPUT PROGRAMS; RIVERS; TIME SERIES; WATER LEVELS;

ACOUSTIC DOPPLER CURRENT PROFILERS; ARTIFICIAL NEURAL NETWORK MODELS; CALIBRATION AND VALIDATIONS; CONSISTENT PERFORMANCE; DISCHARGE ESTIMATION; DISCHARGE PREDICTIONS; MAHAKAM; TIDAL RIVER;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; CALIBRATION; DOPPLER RADAR; PREDICTION; RIVER DISCHARGE; WATER LEVEL;

BORNEO; EAST KALIMANTAN; INDONESIA; MAHAKAM RIVER; SAMARINDA;

EID: 84929310998     PISSN: 10840699     EISSN: 19435584     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000970     Document Type: Article

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