Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

Environmental Modelling and Software

Volumn 25, Issue 8, 2010, Pages 891-909

  Maier, Holger R ^a   Jain, Ashu ^b   Dandy, Graeme C ^a   Sudheer, K P ^c  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Artificial neural networks; Forecasting; Model development; Modelling process; Prediction; Review; River systems; Water resources

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FORECASTING MODELS; MODEL DEVELOPMENT; MODELLING PROCESS; PREDICTION; RIVER SYSTEMS;

FORECASTING; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; RIVERS; TAXONOMIES; WATER POLLUTION; WATER QUALITY;

WATER RESOURCES;

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; NUMERICAL MODEL; RIVER SYSTEM; THEORETICAL STUDY; WATER RESOURCE;

EID: 77951175284     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2010.02.003     Document Type: Review

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