Hybrid ANN-GA model for predicting turbidity and chlorophyll-a concentrations

Journal of Hydro-Environment Research

Volumn 7, Issue 4, 2013, Pages 279-299

  Mulia, Iyan E ^a   Tay, Harold ^a   Roopsekhar, K ^a   Tkalich, Pavel ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Artificial Neural Network; Chlorophyll a; Genetic Algorithm; Hydrodynamics; Turbidity; Water quality

Indexed keywords

ATMOSPHERIC CONDITIONS; CHLOROPHYLL A; CHLOROPHYLL-A CONCENTRATION; EXPERIENTIAL KNOWLEDGE; HYDRODYNAMIC PARAMETERS; SEDIMENT CONCENTRATION; WATER QUALITY PARAMETERS; WATER SURFACE ELEVATIONS;

CHLOROPHYLL; COMPLEX NETWORKS; FORECASTING; GENETIC ALGORITHMS; HYDRODYNAMICS; NEURAL NETWORKS; WATER QUALITY;

TURBIDITY;

ARTIFICIAL NEURAL NETWORK; CHLOROPHYLL A; CONCENTRATION (COMPOSITION); GENETIC ALGORITHM; HYDRODYNAMICS; MODELING; NEARSHORE DYNAMICS; PREDICTION; TIDAL CYCLE; TURBIDITY; WATER QUALITY;

ALGAE;

EID: 84888138641     PISSN: 15706443     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jher.2013.04.003     Document Type: Article

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