A modified neural network for improving river flow prediction

Hydrological Sciences Journal

Volumn 50, Issue 2, 2005, Pages 299-317

  Hu, T S ^a,b   Lam, K C ^b   Ng, S Thomas ^c  

^a WUHAN UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Backpropagation; Generalization performance; Goal programming; Network sensitivity; Neural network; Objective function; Prior knowledge; Rainfall runoff transformation; River flow prediction; The South to North scheme

Indexed keywords

BACKPROPAGATION; FORECASTING; HYDROLOGY; NEURAL NETWORKS; SENSITIVITY ANALYSIS; WATERSHEDS;

NETWORK SENSITIVITY; RAINFALL-RUNOFF MODEL; RIVER FLOW PREDICTION;

RIVERS;

ARTIFICIAL NEURAL NETWORK; PREDICTION; RAINFALL-RUNOFF MODELING; RIVER FLOW;

EID: 17444385970     PISSN: 02626667     EISSN: None     Source Type: Journal    
DOI: 10.1623/hysj.50.2.299.60649     Document Type: Article

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