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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 ...
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...
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 ...
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. ...
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...
Constraints of artificial neural networks for rainfall-runoff modelling：trade-offs in hydrological state representation and model evaluation
neural networks rainfall-runoff modelling
2009/5/18
The application of Artificial Neural Networks (ANNs) in rainfall-runoff modelling needs to be researched more extensively in order to appreciate and fulfil the potential of this modelling approach. Th...
Evaluation of 1-D tracer concentration profile in a small river by means of Multi-Layer Perceptron Neural Networks
1-D tracer concentration profile small river Multi-Layer Perceptron Neural Networks
2009/5/13
The prediction of temporal concentration profiles of a transported pollutant in a river is still a subject of ongoing research efforts worldwide. The present paper is aimed at studying the possibility...