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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...
Prediction of Ground Water Vulnerability using an Integrated GIS-based neuro-fuzzy techniques
Geographic Information System GIS
2015/8/6
There is a need to develop new modeling techniques that assess ground water vulnerability with less expensive data and which are robust when data are uncertain and incomplete. Incorporation of Geograp...
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...
Prediction of Ground Water Vulnerability using an Integrated GIS-based neuro-fuzzy techniques
Geographic Information System GIS Spatial Modeling Remote Sensing Fuzzy Logic Neural Networks
2015/1/4
There is a need to develop new modeling techniques that assess ground water vulnerability with less expensive data and which are robust when data are uncertain and incomplete. Incorporation of Geograp...
Rainfall-runoff modelling using adaptive neuro-fuzzy systems
Rainfall-runoff modelling adaptive neuro-fuzzy systems
2009/12/4
Two important applications of rainfall-runoff models are forecasting and simulation. At present, rainfall-runoff models based on artificial intelligence methods are built basically for short-term fore...
Fuzzy mapping of momentum fluxes in complex shear flows with limited data
Fuzzy mapping momentum fluxes complex shear flows limited data
2009/12/4
This study is divided into three parts centred around modelling the complex turbulent fluxes across strong shear layers, such as exist between the channel and floodplain flow in an over bank flood flo...
Fuzzy rule-based model for contaminant transport in a natural river channel
Fuzzy rule-based model contaminant transport natural river channel
2009/12/4
Fuzzy rules are used to model solute dispersion in a river dead zone, such that the turbulent diffusion is determined by a fuzzy inference system which relates the local mean velocity shear to the lon...
Fuzzy rules based model for solute dispersion in an open channel dead zone
Fuzzy rules based model solute dispersion open channel dead zone
2009/12/4
A method has been developed to estimate turbulent dispersion based on fuzzy rules that use local transverse velocity shears to predict turbulent velocity fluctuations. Turbulence measurements of flow ...
An adaptive neuro-fuzzy inference system for the post-calibration of weather radar rainfall estimation
adaptive neuro-fuzzy inference system post-calibration weather radar rainfall estimation
2009/12/4
An Adaptive Neuro-Fuzzy Inference System, based on a jack-knife approach, is proposed for the post-calibration of weather radar rainfall estimation exploiting available raingauge observations. The met...
Spatial decisions under uncertainty:fuzzy inference in urban water management
Spatial decisions under uncertainty fuzzy inference urban water management
2009/12/4
The endogenous complexity and spatial nature of the problems encountered in the urban water management environment present decision-makers with three major problems: (a) in the urban environment, ever...
Fuzzy set based error measure for hydrologic model evaluation
Fuzzy set error measure hydrologic model evaluation
2009/12/4
Traditional error measures (e.g. mean squared error, mean relative error) are often used in the field of water resources to evaluate the performance of models developed for modeling various hydrologic...
Fuzzy Clustering Neural Network as Flood Forecasting Model
Fuzzy Clustering Neural Network Flood Forecasting Model
2009/10/22
Flood forecasting is always a challenge in Taiwan, which has a subtropical climate
and high mountains. This paper develops a fuzzy clustering neural network
(FCNN), and implements this novel structu...
Water level forecasting through fuzzy logic and artificial neural network approaches
Water level forecasting fuzzy logic artificial neural network approaches
2009/5/13
In this study three data-driven water level forecasting models are presented and discussed. One is based on the artificial neural networks approach, while the other two are based on the Mamdani and t...
Sensitivity analysis of Takagi-Sugeno-Kang rainfall-runoff fuzzy models
Sensitivity analysis rainfall-runoff fuzzy models
2009/4/27
This paper is concerned with the sensitivity analysis of the model parameters of the Takagi-Sugeno-Kang fuzzy rainfall-runoff models previously developed by the authors. These models are classified in...