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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...
Artificial Neural Networks for Event Based Rainfall-Runoff Modeling
Artificial Neural Networks (ANNs) Event Based Rainfall-Runoff Process Error Back Propagation Neural Power
2013/3/19
The Artificial Neural Network (ANN) approach has been successfully used in many hydrological studies especially the rainfall-runoff modeling using continuous data. The present study examines its appli...
Application of Artificial Neural Networks for the Prediction of Water Quality Variables in the Nile Delta
Artificial Neural Networks Regression with Autocorrelated Errors Water Quality Prediction Nile Delta
2013/3/19
The quality of a water body is usually characterized by sets of physical, chemical, and biological parameters, which are mutually interrelated. Since August 1997, monthly records of 33 parameters, mon...
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...
Time Series Modeling of River Flow Using Wavelet Neural Networks
Time Series River Flow Wavelets Neural Networks
2013/3/19
A new hybrid model which combines wavelets and Artificial Neural Network (ANN) called wavelet neural network (WNN) model was proposed in the current study and applied for time series modeling of river...
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...
Forecasting of Runoff and Sediment Yield Using Artificial Neural Networks
Artificial Neural Network Forecasting Runoff Sediment Yield
2013/3/21
Runoff and sediment yield from an Indian watershed during the monsoon period were forecasted for differ-ent time periods (daily and weekly) using the back propagation artificial neural network (BPANN)...
Modelling the Financial Value of the Maroochy River to Property Values: An Application of Neural Networks
Natural Asset Financial Value Neural Network
2013/3/21
The Maroochy River, which is located on east coast of Australia, provides a variety of uses and values to the community. Changes in structure, function and management of the river will influence the v...
A FORECASTING MODEL OF DELTA EVOLUTION USING ARTIFICIAL NEURAL NETWORKS
The coastal zone Artificial neural network BP model Beach processes “Trial-error” method Huanghe Delta
2013/7/22
The coastal zone is an area that has the most active land-ocean interaction. Its evolution takes in high complexity, fuzziness and non-linearity under the influence of many factors such as the coming ...