搜索结果: 1-12 共查到“水文学 Artificial Neural Networks”相关记录12条 . 查询时间(0.062 秒)
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...
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 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...
Simulation of flood flow in a river system using artificial neural networks
Artificial neural networks flood flow neural networks
2009/5/18
Artificial neural networks (ANNs) provide a quick and flexible means of developing flood flow simulation models. An important criterion for the wider applicability of the ANNs is the ability to genera...
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...
Prediction of littoral drift with artificial neural networks
artificial neural networks littoral drift
2009/4/28
The amount of sand moving parallel to a coastline forms a prerequisite for many harbor design projects. Such information is currently obtained through various empirical formulae. Despite so many works...
Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
neural networks perceptron multilayer error backpropagation
2009/3/17
A model for multivariate streamflow generation is presented, based on a multilayer feedforward neural network. The structure of the model results from two components, the neural network (NN) determini...
Over-parameterisation, a major obstacle to the use of artificial neural networks in hydrology?
forecasting stream-flow rainfall-runoff Artificial Neural
2009/3/12
Recently Feed-Forward Artificial Neural Networks (FNN) have been gaining popularity for stream flow forecasting. However, despite the promising results presented in recent papers, their use is questio...