Artificial Neural Network ensemble modeling with conjunctive data clustering for water quality prediction in rivers

Journal of Hydro-Environment Research

Volumn 9, Issue 3, 2015, Pages 325-339

  Kim, Sung Eun ^a   Seo, Il Won ^a  

^a Seoul National University   (South Korea)

Author keywords

Artificial Neural Network; Clustering; Ensemble modeling; Nakdong River; Water quality forecasting

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; FORECASTING; RIVERS; WATER QUALITY;

ARTIFICIAL NEURAL NETWORK ENSEMBLES; CLUSTERING; CONTAMINANT SOURCES; ENSEMBLE MODELING; NON-LINEAR RELATIONSHIPS; PREDICTION AND FORECASTING; WATER QUALITY PREDICTIONS; WATER QUALITY VARIABLES;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; ENSEMBLE FORECASTING; PARAMETERIZATION; RIVER BASIN; RIVER WATER; TURBIDITY; WATER QUALITY;

NAKDONG RIVER; SOUTH KOREA;

EID: 84940899906     PISSN: 15706443     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jher.2014.09.006     Document Type: Article

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