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Using Artificial Neural Network to Estimate Sediment Load in Ungauged Catchments of the Tonle Sap River Basin, Cambodia
Artificial Neural Network Suspended Sediment Load Ungauged Catchment Lower Mekong Basin Tonle Sap River Basin
2013/3/18
Concern on alteration of sediment natural flow caused by developments of water resources system, has been addressed in many river basins around the world especially in developing and remote regions wh...
Dual Artificial Neural Network for Rainfall-Runoff Forecasting
Forecasting Hybrid model ANN Floods Non Linear
2013/3/19
One of the principal issues related to hydrologic models for prediction of runoff is the estimation of extreme values (floods). It is well understood that unless the models capture the dynamics of rai...
Simulation of Low TDS and Biological Units of Fajr Industrial Wastewater Treatment Plant Using Artificial Neural Network and Principal Component Analysis Hybrid Method
Fajr Industrial Wastewater Treatment Plant Simulation Artificial Neural Network PCA Low TDS Biological Unit
2013/3/19
Being familiar with characteristics of industrial town effluents from various wastewater treatment units, which have high qualitative and quantitative variations and more uncertainties compared to urb...
Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
Dynamic Simulation and Forecast Groundwater BP Network RBF Networks
2013/3/19
Based on MATLAB, a new model-BRF network model is founded to be used in groundwater dynamic simulation and prediction. It is systematically studied about the training sample set, testing sample set, t...
Performance Simulation of H-TDS Unit of Fajr Industrial Wastewater Treatment Plant Using a Combination of Neural Network and Principal Component Analysis
Simulation Artificial Neural Network PCA Fajr Industrial Waste Water Treatment Plant High TDS Unit
2013/3/19
Nowadays, with regard to environmental issues, proper operation of wastewater treatment plants is of particular importance that in the case of inappropriate utilization, they will cause serious proble...
Artificial Neural Network Modeling for Sorption of Cadmium from Aqueous System by Shelled Moringa Oleifera Seed Powder as an Agricultural Waste
Artificial Neural Network Biosorption SMOS Cd(II) Removal
2013/3/20
A two-layer Artificial Neural Network (ANN) model was developed to predict the removal efficiency of Cd(II) ions from aqueous solution using shelled Moringa Oleifera seed (SMOS) powder. Batch experime...
Neural Network Modeling for Ni(II) Removal from Aqueous System Using Shelled Moringa Oleifera Seed Powder as an Agricultural Waste
Artificial Neural Networks Biosorption Moringa Oleifera Ni(II) Removal
2013/3/20
A single-layer Artificial Neural Network (ANN) model was developed to predict the removal efficiency of Ni(II) ions from aqueous solution using shelled Moringa Oleifera seed (SMOS) powder. Batch exper...