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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...
Application of an artificial neural network to estimate groundwater level fluctuation
groundwater level fluctuation estimating artificial neural network back propagation algorithms radial basis function MATLAB
2015/8/13
This paper examines and compares the capability of an artificial neural network (ANN) with five different backpropagation (BP) algorithms, namely Gradient descent with momentum (GDM), Gradient descent...
Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
ransmissivity Kriging Artificial Neural Network ANFIS Neuro-Fuzzy interpolation groundwater
2015/8/11
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...
Model the effect of four artificial recharge dams on the quality of groundwater using geostatistical methods in GIS environment,Oman
artificial recharge TDS Total Dissolved Solid GPI Global Polynomial Interpolation IDW Inverse Distance Weighting TSA Trend Surface Analysis Kriging geostatistical analysis
2015/8/11
The geostatistical techniques of GPI, IDW and Kriging were applied in order to evaluate the use of these statistical approaches in GIS environment to examine artificial recharge dams and its effect on...
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...
Application of an artificial neural network to estimate groundwater level fluctuation
groundwater level fluctuation estimating
2015/1/7
This paper examines and compares the capability of an artificial neural network (ANN) with five different backpropagation (BP) algorithms, namely Gradient descent with momentum (GDM), Gradient descent...
Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
Neuro-Fuzzy interpolation groundwater
2015/1/6
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...
Model the effect of four artificial recharge dams on the quality of groundwater using geostatistical methods in GIS environment, Oman
artificial recharge TDS Total Dissolved Solid
2015/1/5
The geostatistical techniques of GPI, IDW and Kriging were applied in order to evaluate the use of these statistical approaches in GIS environment to examine artificial recharge dams and its effect on...
MULTI-TEMPORAL LAND USE ANALYSIS OF AN EPHEMERAL RIVER AREA USING AN ARTIFICIAL NEURAL NETWORK APPROACH ON LANDSAT IMAGERY
Ephemeral River area Multi-temporal Land Use LANDSAT Imagery
2014/4/24
This paper proposes a change detection analysis method based on multitemporal LANDSAT satellite data, presenting a study
performed on the Lama San Giorgio (Bari, Italy) river basin area. Based o...
Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes
Comparative application artificial neural networks genetic algorithms time-series modelling
2009/12/4
The paper compares potentials and achievements of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms in Lake Kasumigaura (Japan). Despite the c...
Development of a discharge equation for side weirs using artificial neural networks
discharge equation side weirs artificial neural networks
2009/12/4
Flow over a side weir is one of the more complex flows to simulate in one-dimensional unsteady flow analysis. Various experiments have been applied, but no agreement is apparent in the literature abou...
The extrapolation of artificial neural networks for the modelling of rainfall ATitlemdash;runoff relationships
artificial neural networks modelling rainfall ATitlemdash runoff relationships
2009/12/4
The last decade has seen increasing interest in the application of Artificial Neural Networks (ANNs) for the modelling of the relationship between rainfall and streamflow. Since multi-layer, feed-forw...
Geohydrological Properties of Tectonic Zones in Hard Rocks Obtained from Artificial Recharge Tests and Numerical Modeling
Geohydrological Properties Tectonic Zones Artificial Recharge Tests Numerical Modeling
2009/10/29
Results from artificial recharge tests through wells in Angered, Gothenburg
have made studies on geohydrological properties of tectonic zones possible.
Measurements of piezometric head in bore holes...
Sodium Mobility in a Mini-Catchment Studied with Radioactive Tracers and Artificial Precipitation
Sodium Mobility Mini-Catchment Radioactive Tracers Artificial Precipitation
2009/10/28
Seasalts in the precipitation may lead to a short-term acidification of the
runoff from natural catchments due to ion-exchange reactions. It was decided
to investigate this effect in the Storgama ar...
Solar Radiation Estimation using Temperature-based,Stochastic and Artificial Neural Networks Approaches
Solar Radiation Estimation Temperature-based Artificial Neural Networks
2009/10/22
Radiation is a variable that governs many hydrological and phenological
processes, but its measurements are not made routinely. To overcome this problem,
continuous hydrological models that include ...