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An experiment on the evolution of an ensemble of neural networks for streamflow forecasting
experiment evolution ensemble neural networks streamflow forecasting
2010/4/7
We present an experiment on fifty multilayer perceptrons trained for streamflow forecasting on three watersheds using bootstrapped input series. This type of neural network is common in hydrology and ...
Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks
high waters Venice Lagoon chaotic time series analysis nonlinear neural networks
2009/12/7
Time series analysis using nonlinear dynamics systems theory and multilayer neural networks models have been applied to the time sequence of water level data recorded every hour at 'Punta della Salute...
Input–output dynamic neural networks simulating inflow–outflow phenomena in an urban hydrological basin
Input–output dynamic neural networks inflow–outflow phenomena urban hydrological basin
2009/12/7
In this paper neural networks have been studied as a tool to realise a single-input single-output nonlinear dynamic system simulating rainfall-runoff transformation in a urban hydrological basin. The ...
Prediction of scour depth at culvert outlets using neural networks
Prediction scour depth culvert outlets neural networks
2009/12/4
Scour at culvert outlets is a phenomenon encountered world-wide. Research into the problem has mainly been of an experimental nature, with equations being derived for particular circumstances. These t...
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...
Flash-flood forecasting by means of neural networks and nearest neighbour approach–a comparative study
Flash-flood forecasting neural networks nearest neighbour approach
2009/11/9
In this paper, Multi-Layer Perceptron and Radial-Basis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountai...
Neural Networks in the Ice-Correction of Discharge Observations
Neural Networks Ice-Correction Discharge Observations
2009/10/23
We have applied three models, a neural network, a conceptual model and a combination
of these two, a hybrid model, to model thc backwatcr effect of ice in a
river. The neural network is a black-box ...
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 ...
River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin
River flow forecasting artificial neural networks flow length travel time information
2009/9/11
This paper explores the use of flow length and travel time as a pre-processing step for incorporating spatial precipitation information into Artificial Neural Network (ANN) models used for river flow ...
Classification of hydro-meteorological conditions and multiple artificial neural networks for streamflow forecasting
hydro-meteorological conditions neural networks streamflow forecasting
2009/9/11
This paper presents the application of a modular approach for real-time streamflow forecasting that uses different system-theoretic rainfall-runoff models according to the situation characterising the...
A novel approach to parameter uncertainty analysis of hydrological models using neural networks
hydrological models neural networks Artificial Neural Network
2009/7/22
In this study, a methodology has been developed to emulate a time consuming Monte Carlo (MC) simulation by using an Artificial Neural Network (ANN) for the assessment of model parametric uncertainty. ...
The Use of Neural Networks and Genetic Algorithms for Design of Groundwater Remediation Schemes
Neural Networks groundwater pollution Groundwater Remediation Schemes
2009/6/8
The increasing incidence of groundwater pollution has led to recognition of a need to develop objective techniques for designing reniediation schemes. This paper outlines one such possibility for dete...
A comparison of artificial neural networks used for river forecasting
multi layer perceptron artificial neural network radial basis function network
2009/5/27
This paper compares the performance of two artificial neural network (ANN) models – the multi layer perceptron (MLP) and the radial basis function network (RBF) – with a stepwise multiple linear regre...