Keyword: neural networks

Found 847 papers in total
Neural networks and optimization algorithms applied for construction of low noise tread profiles
Neural networks and optimization algorithms applied for construction of low noise tread profiles
2007,
In this article we evaluate and compare diverse methodologies for designing low-noise...
A combined genetic-neural algorithm for mobility management
A combined genetic-neural algorithm for mobility management
2007,
This work presented a new approach to solve the location management problem by using...
Model combination in neural-based forecasting
Model combination in neural-based forecasting
2006,
This paper discusses different ways of combining neural predictive models or...
Application of SVM and ANN for image retrieval
Application of SVM and ANN for image retrieval
2006,
This paper presents a new, scaling and rotation invariant encoding scheme for shapes....
Adaptive and intelligent request distribution for content delivery networks
Adaptive and intelligent request distribution for content delivery networks
2007,
Today's knowledge and content Web-based technologies call for adaptive and intelligent...
Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks
Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks
2007,
Environmental awareness and legislative pressures have made manufacturers responsible...
Predicting the impact of anticipatory action on U.S. Stock Market – an event study using ANFIS (a neural fuzzy model)
Predicting the impact of anticipatory action on U.S. Stock Market – an event study using ANFIS (a neural fuzzy model)
2007,
In this study, the adaptive neural fuzzy inference system (ANFIS), a hybrid fuzzy...
Hybrid data mining approach for pattern extraction from wafer bin map to improve yield in semiconductor manufacturing
Hybrid data mining approach for pattern extraction from wafer bin map to improve yield in semiconductor manufacturing
2007,
Semiconductor manufacturing involves lengthy and complex processes, and hence is...
On evolutionary algorithms, neural-network computations, and genetic programming: Some mathematical problems
On evolutionary algorithms, neural-network computations, and genetic programming: Some mathematical problems
2007,
Some problems related to evolutionary and genetic algorithms, genetic programming, and...
Fuzzy ART/RRR-RSS: a two-phase neural network algorithm for part-machine grouping in cellular manufacturing
Fuzzy ART/RRR-RSS: a two-phase neural network algorithm for part-machine grouping in cellular manufacturing
2007,
In this paper an efficient methodology adopting Fuzzy ART neural network is presented...
A framework for determining multiple-input multiple-output process parameters by a neuro-data mining and ant colony optimisation approach
A framework for determining multiple-input multiple-output process parameters by a neuro-data mining and ant colony optimisation approach
2007,
A framework combining artificial neural network (ANN) modelling technique, data mining...
Dynamic parameter design by ant colony optimization and neural networks
Dynamic parameter design by ant colony optimization and neural networks
2007,
Parameter design is the most important phase in the development of new products and...
Using a heterogeneous multinomial probit model with a neural net extension to model brand choice
Using a heterogeneous multinomial probit model with a neural net extension to model brand choice
2007,
The multinomial probit model introduced here combines heterogeneity across households...
Neural network models and its application for solving linear and quadratic programming problems
Neural network models and its application for solving linear and quadratic programming problems
2006,
In this paper we consider two recurrent neural network models for solving linear and...
Building neural network models for time series: a statistical approach
Building neural network models for time series: a statistical approach
2006,
This paper is concerned with modelling time series by single hidden layer feedforward...
Artificial neural networks as cost engineering methods in a collaborative manufacturing environment
Artificial neural networks as cost engineering methods in a collaborative manufacturing environment
2007,
To support the complexity of the modern manufacturing environment it is vital that...
Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge
Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge
2007,
Neural networks are widely utilized to extract management knowledge from acquired...
A model of single-machine controllable scheduling using a neural network
A model of single-machine controllable scheduling using a neural network
2006,
The mathematical programming model of the single-machine controllable scheduling...
Neural networks for predicting fracture toughness of individual wood samples
Neural networks for predicting fracture toughness of individual wood samples
2007,
Strain energy release rate (G Ic ) of Pinus radiata in the TL opening mode was...
Non-linear, non-parametric, non-fundamental exchange rate forecasting
Non-linear, non-parametric, non-fundamental exchange rate forecasting
2006,
This paper employs a non-parametric method to forecast high-frequency Canadian/US...
Understanding and predicting sovereign debt rescheduling: a comparison of the areas under receiver operating characteristic curves
Understanding and predicting sovereign debt rescheduling: a comparison of the areas under receiver operating characteristic curves
2006,
This paper extends the existing literature on empirical research in the field of...
Knowledge integration using problem spaces: A study in resource-constrained project scheduling
Knowledge integration using problem spaces: A study in resource-constrained project scheduling
2006,
The need to develop schedules for projects with resource constraints and cash flows...
Self-organizing feature maps for the vehicle routing problem with backhauls
Self-organizing feature maps for the vehicle routing problem with backhauls
2006,
In the Vehicle Routing Problem with Backhauls (VRPB), a central depot, a fleet of...
Ensemble learning using multi-objective evolutionary algorithms
Ensemble learning using multi-objective evolutionary algorithms
2006,
Multi-objective evolutionary algorithms for the construction of neural ensembles is a...
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