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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....
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...
Data-based mechanistic modelling and forecasting of hydrological systems
Data-based mechanistic modelling forecasting hydrological systems
2009/12/7
The paper presents a data-driven approach to the modelling and forecasting of hydrological systems based on nonlinear time-series analysis. Time varying parameters are estimated using a combined Kalma...
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...
How crucial is it to account for the antecedent moisture conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments
soil moisture accounting flood forecasting moisture conditions
2009/7/22
This paper compares event-based and continuous hydrological modelling approaches for real-time forecasting of river flows. Both approaches are compared using a lumped hydrologic model (whose structure...
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...
Snow, whilst not a dominant feature of Britain's maritime climate, can exert a significant influence on major floods through its contribution as snowmelt. Flood warning systems which fail to take acco...
Pattern dynamics, pattern hierarchies, and forecasting in complex multi-scale earth systems
multi-scale earth systems dynamical variables
2009/5/15
Catastrophic disasters afflicting human society are often triggered by tsunamis, earthquakes, widespread flooding, and weather and climate events. As human populations increasingly move into geographi...