Keyword: neural networks

Found 847 papers in total
Employee turnover: a neural network solution
Employee turnover: a neural network solution
2005,
In today's working environment, a company's human resources are truly the only...
Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms
Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms
2005,
This paper examines the potential of a neural network coupled with genetic algorithms...
Application of a support vector machine and an artificial neural network for intrusion detection
Application of a support vector machine and an artificial neural network for intrusion detection
2005,
The popularization of shared networks and Internet usage demands increases attention...
Form design of product image using grey relational analysis and neural network models
Form design of product image using grey relational analysis and neural network models
2005,
This paper presents a new approach to determining the best design combination of...
Neural and fuzzy model performance evaluation of a dynamic production system
Neural and fuzzy model performance evaluation of a dynamic production system
2006,
Although mathematical modelling techniques are very well developed, some production...
A self-organized neural network metamodelling and clonal selection optimization-based approach for the design of a manufacturing system
A self-organized neural network metamodelling and clonal selection optimization-based approach for the design of a manufacturing system
2006,
Simulation metamodelling has captured the attention of various researchers due to its...
Inverse modelling of multi-objective thermodynamically optimized turbojet engines using the Group Method of Data Handling-type neural networks and evolutionary algorithms
Inverse modelling of multi-objective thermodynamically optimized turbojet engines using the Group Method of Data Handling-type neural networks and evolutionary algorithms
2005,
A novel approach is presented in this article for obtaining inverse mapping of...
An augmented Lagrange programming optimization neural network for short-term hydroelectric generation scheduling
An augmented Lagrange programming optimization neural network for short-term hydroelectric generation scheduling
2005,
An approach based on augmented Lagrange programming neural networks is proposed for...
Modelling and optimization of a multistage flash desalination process
Modelling and optimization of a multistage flash desalination process
2005,
The multistage flash (MSF) desalination process is a widespread and vitally important...
Groundwater level forecasting in a shallow aquifer using artificial neural network approach
Groundwater level forecasting in a shallow aquifer using artificial neural network approach
2006,
Forecasting the ground water level fluctuations is an important requirement for...
Comparison of neural networks and gravity models in trip distribution
Comparison of neural networks and gravity models in trip distribution
2006,
Transportation engineers are commonly faced with the question of how to extract...
User-oriented design for the optimal combination on product design
User-oriented design for the optimal combination on product design
2006,
This paper presents a new approach of user-oriented design for transforming users'...
An application of pattern recognition on scoring Chinese corporations financial conditions based on backpropagation neural network
An application of pattern recognition on scoring Chinese corporations financial conditions based on backpropagation neural network
2005,
The paper follows three parts on the whole. The first part reviews the literature on...
A neural network to enhance local search in the permutation flowshop
A neural network to enhance local search in the permutation flowshop
2005,
This paper considers the n -job, m -machine permutation flowshop with the objective of...
Global optimization of a feature-based process sequence using GA (genetic algorithm) and ANN (artificial neural networks) techniques
Global optimization of a feature-based process sequence using GA (genetic algorithm) and ANN (artificial neural networks) techniques
2005,
Operation sequencing has been a key area of research and development for...
Large neural networks for electricity load forecasting: Are they overfitted?
Large neural networks for electricity load forecasting: Are they overfitted?
2005,
Neural networks have apparently enjoyed considerable success in practice for...
Neural network based decision support model for optimal reservoir operation
Neural network based decision support model for optimal reservoir operation
2005,
A decision support model (DSM) has been developed using the artificial neural networks...
The accuracy of a procedural approach to specifying feedforward neural networks for forecasting
The accuracy of a procedural approach to specifying feedforward neural networks for forecasting
2005,
The comparative accuracy of feedforward neural networks (NN) when applied to time...
Optimization of artificial neural network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium)
Optimization of artificial neural network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium)
2004,
To meet the requirements of the EU Water Framework Directive, models are useful to...
Ensemble strategies for a medical diagnostic decision support system: A breast cancer diagnosis application
Ensemble strategies for a medical diagnostic decision support system: A breast cancer diagnosis application
2005,
The model selection strategy is an important determinant of the performance and...
Optimal management of coastal aquifers using linked simulation optimization approach
Optimal management of coastal aquifers using linked simulation optimization approach
2005,
Saltwater intrusion management models can be used to derive optimal and efficient...
Efficient optimization of process parameters in shadow mask manufacturing using NNPLA (neural network partial least squares) and a genetic algorithm
Efficient optimization of process parameters in shadow mask manufacturing using NNPLA (neural network partial least squares) and a genetic algorithm
2005,
A shadow mask, the primary component of a cathode ray tube (CRT), is used to prevent...
On-line blind separation of non-stationary signals
On-line blind separation of non-stationary signals
2005,
This paper addresses the problem of blind separation of non-stationary signals. We...
Neural network forecasting for seasonal and trend time series
Neural network forecasting for seasonal and trend time series
2005,
Neural networks have been widely used as a promising method for time series...
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