Keyword: neural networks

Found 847 papers in total
Two-stage genetic programming for the credit scoring model
Two-stage genetic programming for the credit scoring model
2006,
Credit scoring models have been widely studied in the areas of statistics, machine...
Neural network models for traffic control and congestion prediction
Neural network models for traffic control and congestion prediction
1995,
Advance Traffic Management Systems (ATMS) must be able to respond to existing and...
An integrated forecasting and regularization framework for light rail transit systems
An integrated forecasting and regularization framework for light rail transit systems
2006,
In recent years, with half the world's population living in towns and cities and most...
Probability distributions, trading strategies and leverage: an application of Gaussian mixture models
Probability distributions, trading strategies and leverage: an application of Gaussian mixture models
2004,
The purpose of this paper is twofold. Firstly, to assess the merit of estimating...
Precision parameter in the variable precision rough sets model: an application
Precision parameter in the variable precision rough sets model: an application
2006,
Despite their diverse applications in many domains, the variable precision rough sets...
A hybrid autoregressive integrated moving average (ARIMA) and support vector machines model in stock price forecasting
A hybrid autoregressive integrated moving average (ARIMA) and support vector machines model in stock price forecasting
2005,
Traditionally, the autoregressive integrated moving average (ARIMA) model has been one...
A neural network versus Black–Scholes: a comparison of pricing and hedging performances
A neural network versus Black–Scholes: a comparison of pricing and hedging performances
2003,
An Erratum has been published for this article in Journal of Forecasting 22(6/7) 2003,...
Combination of forecasts using self-organizing algorithms
Combination of forecasts using self-organizing algorithms
2005,
Based on the theories and methods of self-organizing data mining, a new forecasting...
Performance evaluation of neural network architectures: the case of predicting foreign exchange correlations
Performance evaluation of neural network architectures: the case of predicting foreign exchange correlations
2005,
In the last decade, neural networks have emerged from an esoteric instrument in...
Forecasting nonlinear time series with feed-forward neural networks: a case study of Canadian lynx data
Forecasting nonlinear time series with feed-forward neural networks: a case study of Canadian lynx data
2005,
The forecasting capabilities of feed-forward neural network (FFNN) models are compared...
Long-term sales forecasting using Holt–Winters and neural network methods
Long-term sales forecasting using Holt–Winters and neural network methods
2005,
The problem of medium to long-term sales forecasting raises a number of requirements...
Development of a multifunctional sales response model with the diagnostic aid of artificial neural networks
Development of a multifunctional sales response model with the diagnostic aid of artificial neural networks
2005,
This paper proposes an approach that models and forecasts sales through a flexible...
Exploring the non-linearity in empirical modelling of a steel system using statistical and neural network models
Exploring the non-linearity in empirical modelling of a steel system using statistical and neural network models
2007,
The relationship between the physical properties of metal is often very complex in...
Detecting and analysing patterns in Supply Chain behaviour
Detecting and analysing patterns in Supply Chain behaviour
2006,
Using outputs of a supply chain system dynamics model, neural networks' pattern...
Unemployment variation over the business cycles: a comparison of forecasting models
Unemployment variation over the business cycles: a comparison of forecasting models
2004,
Asymmetry has been well documented in the business cycle literature. The asymmetric...
Forecasting of the electric energy demand trend and monthly fluctuation with neural networks
Forecasting of the electric energy demand trend and monthly fluctuation with neural networks
2007,
Electric energy demand forecasting is a fundamental tool for production and...
A hybrid model for exchange rate prediction
A hybrid model for exchange rate prediction
2006,
Exchange rate forecasting is an important problem. Several forecasting techniques have...
Exchange rate forecasting by neuro-fuzzy techniques
Exchange rate forecasting by neuro-fuzzy techniques
2005,
Modelling the human behaviour in the market of the exchange rate has always been an...
Forecasting exchange rate better with artificial neural network
Forecasting exchange rate better with artificial neural network
2007,
This paper brings into play neural network to make one-step-ahead prediction of weekly...
Customer targeting: a neural network approach guided by genetic algorithms
Customer targeting: a neural network approach guided by genetic algorithms
2005,
One of the key problems in database marketing is the identification and profiling of...
Predicting effectiveness of construction project management: decision-support tool for competitive bidding
Predicting effectiveness of construction project management: decision-support tool for competitive bidding
2006,
This article presents construction project management effectiveness modelling from the...
Financial forecasting through Unsupervised Clustering and Neural Networks
Financial forecasting through Unsupervised Clustering and Neural Networks
2006,
In this paper, we review our work on a time series forecasting methodology based on...
A real-time road pricing system: The case of a two-link parallel network
A real-time road pricing system: The case of a two-link parallel network
2007,
A real-time road pricing system in the case of a two-link parallel network is proposed...
The use of a neural network technique for the prediction of water quality parameters
The use of a neural network technique for the prediction of water quality parameters
2005,
This paper is concerned with the use of Neural Network models for the prediction of...
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