Keyword: neural networks

Found 847 papers in total
An accelerated-time simulation for traffic flow in a smart city
An accelerated-time simulation for traffic flow in a smart city
2014,
Traffic control is one of the most important problems related with urban development....
A neuro-fuzzy regression approach for estimation and optimisation of gasoline consumption
A neuro-fuzzy regression approach for estimation and optimisation of gasoline consumption
2014,
The purpose of the present study is to forecast the gasoline consumption of Iran. To...
Robust reliable stabilization of uncertain switched neutral systems with delayed switching
Robust reliable stabilization of uncertain switched neutral systems with delayed switching
2011,
This paper investigates the problem of robust reliable control for a class of...
Stochastic processes adapted by neural networks with application to climate, energy, and finance
Stochastic processes adapted by neural networks with application to climate, energy, and finance
2011,
Local climate parameters may naturally effect the price of many commodities and their...
Synchronization of a growing chaotic network model
Synchronization of a growing chaotic network model
2011,
Synchronization in large ensembles of coupled interacting units is a fundamental...
Estimation of Monthly Mean Reference Evapotranspiration in Turkey
Estimation of Monthly Mean Reference Evapotranspiration in Turkey
2014,
Monthly mean reference evapotranspiration ( ET 0 ) is estimated using adaptive network...
Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques
Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques
2014,
The objective of this study is to develop soft computing and data reconstruction...
Modelling Energy Dissipation Over Stepped-gabion Weirs by Artificial Intelligence
Modelling Energy Dissipation Over Stepped-gabion Weirs by Artificial Intelligence
2014,
The hydraulics of energy dissipation over stepped‐gabion weirs is investigated...
New Approach: Integrated Risk-Stochastic Dynamic Model for Dam and Reservoir Optimization
New Approach: Integrated Risk-Stochastic Dynamic Model for Dam and Reservoir Optimization
2014,
Multiple studies have developed management models to identify optimal operating...
Improving Flood Forecasting in a Developing Country: A Comparative Study of Stepwise Multiple Linear Regression and Artificial Neural Network
Improving Flood Forecasting in a Developing Country: A Comparative Study of Stepwise Multiple Linear Regression and Artificial Neural Network
2014,
Due to limited data sources, practical situations in most developing countries favor...
Transport energy demand modeling of South Korea using artificial neural network
Transport energy demand modeling of South Korea using artificial neural network
2011,
Artificial neural network models were developed to forecast South Korea's transport...
Equilibrium and stability analysis of delayed neural networks under parameter uncertainties
Equilibrium and stability analysis of delayed neural networks under parameter uncertainties
2012,
This paper proposes new results for the existence, uniqueness and global asymptotic...
Hopf bifurcation and stability for a neural network model with mixed delays
Hopf bifurcation and stability for a neural network model with mixed delays
2012,
A generalized model of the two‐neuron network with mixed delays is studied. The...
Hopfield neural networks in large-scale linear optimization problems
Hopfield neural networks in large-scale linear optimization problems
2012,
Hopfield neural networks and affine scaling interior point methods are combined in a...
Exponential stability of discrete-time neural networks with delay and impulses
Exponential stability of discrete-time neural networks with delay and impulses
2012,
In this paper, we investigate the exponential stability of discrete‐time neural...
Methodology of designing adaptive supervisory control system for railway freight terminals
Methodology of designing adaptive supervisory control system for railway freight terminals
2012,
The paper discusses the methodology of designing an adaptive supervisory control...
Heuristic Modelling of the Water Resources Management in the Guadalquivir River Basin, Southern Spain
Heuristic Modelling of the Water Resources Management in the Guadalquivir River Basin, Southern Spain
2012,
A model comprising blocks of artificial neural networks (ANNs) combined in sequence...
Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy
Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy
2012,
Forecasting urban water demand can be of use in the management of water utilities. For...
Prediction of Daily Pan Evaporation using Wavelet Neural Networks
Prediction of Daily Pan Evaporation using Wavelet Neural Networks
2012,
Prediction of daily evaporation has an important role in reservoir management,...
Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting
Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting
2014,
In this paper, the number of goods subject to inspection at European Border...
Predicting component reliability and level of degradation with complex-valued neural networks
Predicting component reliability and level of degradation with complex-valued neural networks
2014,
In this paper, multilayer feedforward neural networks based on multi‐valued...
A new neural network for solving quadratic programming problems with equality and inequality constraints
A new neural network for solving quadratic programming problems with equality and inequality constraints
2014,
A new neural network is proposed in this paper for solving quadratic programming...
Multiple project portfolio scheduling using recurrent neural networks
Multiple project portfolio scheduling using recurrent neural networks
2013,
This work is devoted to the portfolio project management problem and more precisely it...
A hybrid model for time series forecasting
A hybrid model for time series forecasting
2012,
For time series, the problem that we often encounter is how to extract the patterns...
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