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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...
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...
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 ...