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An Introduction to Artificial Neural Networks
Artificial Neural Networks Introduction
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2014/3/31
Neural networks have seen an explosion of interest over the last few years, and are being successfully applied across an extraordinary range of problem domains, in areas as diverse as finance, medicin...
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
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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
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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
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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...
Artificial Neural Networks to reconstruct incomplete satellite data:application to the Mediterranean Sea Surface Temperature
Artificial Neural Networks incomplete satellite data Mediterranean Sea Surface Temperature
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2009/10/30
Satellite data can be very useful in applications where extensive spatial information is needed, but sometimes missing data due to presence of clouds can affect data quality. In this study a methodolo...
Solar Radiation Estimation using Temperature-based,Stochastic and Artificial Neural Networks Approaches
Solar Radiation Estimation Temperature-based Artificial Neural Networks
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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 ...
Rotation-Invariant Texture Analysis and Classification by Artificial Neural Networks and Wavelet Transform
Texture Wavelet transform Artificial neural networks Classification
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2009/10/13
A large number of approaches for texture analysis have been suggested for the purpose of texture classification. Recently, wavelet frames were proposed for texture features extraction. In this study, ...
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
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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
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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 nonextensive method for spectroscopic data analysis with artificial neural networks
Nonextensive statistical mechanics Neural networks Pattern classification Spectroscopy
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2010/7/5
In this paper we apply an evolving stochastic method to construct simple and effective Artificial Neural Networks, based on the theory of Tsallis statistical mechanics. Our aim is to establish an auto...
Artificial Neural Networks in Stellar Astronomy
Artificial Neural Networks Stellar Astronomy
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2009/6/5
Artificial Neural Networks in Stellar Astronomy。
A comparison of artificial neural networks used for river forecasting
multi layer perceptron artificial neural network radial basis function network
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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
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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
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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
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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...