Prediction of water quality index in constructed wetlands using support vector machine

Poor water quality is a serious problem in the world which threatens human health, ecosystems, and plant/animal life. Prediction of surface water quality is a main concern in water resource and environmental systems. In this research, the support vector machine and two methods of artificial neural n...

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Veröffentlicht in:	Environmental science and pollution research international 2015-04, Vol.22 (8), p.6208-6219
Hauptverfasser:	Mohammadpour, Reza, Shaharuddin, Syafiq, Chang, Chun Kiat, Zakaria, Nor Azazi, Ghani, Aminuddin Ab, Chan, Ngai Weng
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Aquatic plants Aquatic Pollution Artificial wetlands Atmospheric Protection/Air Quality Control/Air Pollution Back propagation Catalysis Chemical oxygen demand constructed wetlands Construction equipment Correlation data collection Datasets Earth and Environmental Science ecosystems Ecotoxicology Environment Environmental Chemistry Environmental Health Flowers & plants Free surfaces human health Mathematical models Models, Theoretical Neural networks Neural Networks (Computer) prediction Predictions Propagation Research Article Stormwater management Support Vector Machine Support vector machines Surface water Variables Waste Water Technology Water Management Water Pollutants - chemistry Water pollution Water Pollution Control Water quality Water Quality - standards Water resources Wetlands
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