Keyword: neural networks

Found 847 papers in total
A neural network model for enhanced operation of midblock signalled pedestrian crossings
A neural network model for enhanced operation of midblock signalled pedestrian crossings
2001,
UK transport policy has shifted dramatically in recent years. The new policy direction...
A learning framework for neural networks using constrained optimization methods
A learning framework for neural networks using constrained optimization methods
2000,
Conventional supervised learing in neural networks is carried out by performing...
A simulation study of artificial neural networks for nonlinear time-series forecasting
A simulation study of artificial neural networks for nonlinear time-series forecasting
2001,
This study presents an experimental evaluation of neural networks for nonlinear...
A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm
A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm
2001,
Sales forecasting is highly complex due to the influence of internal and external...
Neural networks and the multinomial logit for brand choice modelling: A hybrid approach
Neural networks and the multinomial logit for brand choice modelling: A hybrid approach
2000,
The study of brand choice decisions with multiple alternatives has been successfully...
Neural network versus econometric models in forecasting inflation
Neural network versus econometric models in forecasting inflation
2000,
Artificial neural network modelling has recently attracted much attention as a new...
A quantile regression neural network approach to estimating the conditional density of multiperiod returns
A quantile regression neural network approach to estimating the conditional density of multiperiod returns
2000,
This paper presents a new approach to estimating the conditional probability...
Forecasting time-dependent conditional densities: A semi-non-parametric neural network approach
Forecasting time-dependent conditional densities: A semi-non-parametric neural network approach
2000,
In financial econometrics the modelling of asset return series is closely related to...
Using the cascade-correlation algorithm to evaluate investment projects
Using the cascade-correlation algorithm to evaluate investment projects
2001,
This paper considers some aspects of using a cascade-correlation network in the...
Tolerance synthesis by neural learning and nonlinear programming
Tolerance synthesis by neural learning and nonlinear programming
2001,
The tolerance design directly influences the functionality of products and related...
A neural-net approach to real time flow-shop sequencing
A neural-net approach to real time flow-shop sequencing
2000,
This paper considers the classic problem of sequencing a set of jobs that arrive in...
Scheduling jobs on parallel machines applying neural network and heuristic rules
Scheduling jobs on parallel machines applying neural network and heuristic rules
2000,
In this paper, we investigate the problem of scheduling jobs on identical parallel...
A neural network model for solving the lot-sizing problem
A neural network model for solving the lot-sizing problem
2000,
Artificial neural network models have been used successfully to solve demand...
Neural network approach to sensitivity and uncertainty analysis
Neural network approach to sensitivity and uncertainty analysis
1999,
Computer simulation of the dynamic evolution of complex systems has become a...
Neural network technique for fuzzy multiobjective linear programming
Neural network technique for fuzzy multiobjective linear programming
1998,
Neural Network (NN) is well-known as one of powerful computing tools to solve...
Automatic neural network modeling for univariate time series
Automatic neural network modeling for univariate time series
2000,
Artificial neural networks (ANNs) are an information processing paradigm inspired by...
A self-organizing neural network approach for multiple traveling salesman and vehicle routing problems
A self-organizing neural network approach for multiple traveling salesman and vehicle routing problems
1999,
This paper addresses several algorithms based on self-organizing neural network...
Credit scoring using neural and evolutionary techniques
Credit scoring using neural and evolutionary techniques
2000,
This paper compares the predictive performance of linear discriminant analysis, neural...
Time series forecasting using neural networks: Should the data be deseasonalized first?
Time series forecasting using neural networks: Should the data be deseasonalized first?
1999,
This research investigates whether prior statistical deseasonalization of data is...
A machine learning approach to yield management in semiconductor manufacturing
A machine learning approach to yield management in semiconductor manufacturing
2000,
Yield improvement is one of the most important topics in semiconductor manufacturing....
A sequential method for the development of visual interactive meta-simulation models using neural networks
A sequential method for the development of visual interactive meta-simulation models using neural networks
2000,
This paper proposes a practical and efficient method for the development of visual...
Computing confidence intervals for stochastic simulation using neural network metamodels
Computing confidence intervals for stochastic simulation using neural network metamodels
1999,
This paper discusses the use of supervised neural networks as a metamodeling technique...
The efficacy of neural networks in predicting returns on stock and bond indices
The efficacy of neural networks in predicting returns on stock and bond indices
1998,
This paper uses two recently developed tests to identify neglected nonlinearity in the...
Process cost modelling using neural networks
Process cost modelling using neural networks
2000,
One method of establishing cost-estimating relationships (CERs) that appears to offer...
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