An ANN application for water quality forecasting

Marine Pollution Bulletin

Volumn 56, Issue 9, 2008, Pages 1586-1597

  Palani, Sundarambal ^a   Liong, Shie Yui ^a   Tkalich, Pavel ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Data driven technique; Forecasting; Neural network; Prediction; Singapore seawater; Southeast Asia; Water quality

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BIOCHEMICAL OXYGEN DEMAND; CHLOROPHYLL; DISSOLUTION; DISSOLVED OXYGEN; ELECTRIC FAULT LOCATION; ELECTRIC LOAD FORECASTING; ENVIRONMENTAL ENGINEERING; ENVIRONMENTAL PROTECTION; FORECASTING; LIGHTNING; LOCATION; NEURAL NETWORKS; NONMETALS; OXYGEN; PLANNING; PORPHYRINS; SEAWATER; STRATEGIC PLANNING; WATER QUALITY;

ANN MODELING; ARTIFICIAL NEURAL NETWORKS; COASTAL DEVELOPMENTS; COASTAL WATERS; DATA DRIVEN TECHNIQUE; DATA SETS; INPUT PARAMETERS; MANAGEMENT PROCESSES; MARINE ENVIRONMENTS; NASH-SUTCLIFFE COEFFICIENTS; NEURAL NETWORK; NON-LINEAR RELATIONSHIPS; PREDICTION; QUANTITATIVE CHARACTERISTICS; SEA WATER QUALITY; SIMULATION ACCURACY; SIMULATION RESULTS; SINGAPORE; SINGAPORE SEAWATER; SOUTHEAST ASIA; TIME LAGS;

HYDRAULIC MODELS;

CHLOROPHYLL A; OXYGEN; SEA WATER;

ARTIFICIAL NEURAL NETWORK; CHLOROPHYLL A; COASTAL DEVELOPMENT; COASTAL WATER; DISSOLVED OXYGEN; FORECASTING METHOD; MARINE ENVIRONMENT; MODELING; SALINITY; SEA SURFACE TEMPERATURE; SEAWATER; SUSTAINABLE DEVELOPMENT; URBAN DEVELOPMENT; WATER QUALITY;

ACCURACY; ARTICLE; COASTAL WATERS; ENVIRONMENTAL MANAGEMENT; FORECASTING; MARINE ENVIRONMENT; SALINITY; SIMULATION; SINGAPORE; URBAN AREA; VALIDATION PROCESS; WATER QUALITY; WATER TEMPERATURE;

COMPUTER SIMULATION; ENVIRONMENTAL MONITORING; FORECASTING; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); SEAWATER; SINGAPORE; WATER POLLUTION;

ASIA; EURASIA; SINGAPORE [SOUTHEAST ASIA]; SOUTHEAST ASIA;

EID: 49849106661     PISSN: 0025326X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.marpolbul.2008.05.021     Document Type: Article

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