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Artificial Neural Network Application on Estimation of Aquifer Transmissivity
Aquifer Parameter Feed Forward Back Propagation
2015/8/13
The present study focuses on the unexplored area of application of artificial neural network in groundwater hydrology. Three models, each based on artificial neural networks, are applied for predictio...
Artificial Neural Network Application on Estimation of Aquifer Transmissivity
Aquifer Parameter Feed Forward Back Propagation Radial Basis Function Recurrent Artificial Neural Network Inverse Modeling Finite Element Method
2015/1/7
The present study focuses on the unexplored area of application of artificial neural network in groundwater hydrology. Three models, each based on artificial neural networks, are applied for predictio...
Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam
non-generalized neural network model multi-lead inflow
2011/3/15
Artificial neural networks (ANN) have been found efficient, particularly in problems where characteristics of the processes are stochastic and difficult to describe using explicit mathematical models....
Clustering of heterogeneous precipitation fields for the assessment and possible improvement of lumped neural network models for streamflow forecasts
rainfall-runoff Clustering
2009/5/13
This work addresses the issue of better considering the heterogeneity of precipitation fields within lumped rainfall-runoff models where only areal mean precipitation is usually used as an input. A me...