AIMC Topic: Water Quality

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Artificial neural network modeling of the water quality index using land use areas as predictors.

Water environment research : a research publication of the Water Environment Federation Feb 1, 2015
This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were em...
Neural Networks, Computer Prognosis Agriculture Models, Theoretical Environmental Monitoring Malaysia Water Quality Rivers Conservation of Natural Resources City Planning Forestry
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Adaptive neuro-fuzzy inference system for real-time monitoring of integrated-constructed wetlands.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2015
Monitoring large-scale treatment wetlands is costly and time-consuming, but required by regulators. Some analytical results are available only after 5 days or even longer. Thus, adaptive neuro-fuzzy inference system (ANFIS) models were developed to p...
Neural Networks, Computer Environmental Monitoring Fuzzy Logic Cluster Analysis Models, Biological Water Quality Wetlands
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