Keyword: neural networks

Found 847 papers in total
Using multi-layered perceptron networks to design a production scheduling system
Using multi-layered perceptron networks to design a production scheduling system
2003,
This paper investigates the application of artificial neural networks to the problem...
Annealed neural networks approach to the vehicle routing problem with stochastic demands
Annealed neural networks approach to the vehicle routing problem with stochastic demands
2002,
Various vehicle routing problems (VRP) are encountered in many service systems such as...
Quantitative forecasting and assessment models in the state education system
Quantitative forecasting and assessment models in the state education system
2002,
This paper presents model-based forecasting of the Lithuanian education system in the...
An algorithm of neural network and application to data processing in concrete engineering
An algorithm of neural network and application to data processing in concrete engineering
2003,
It is a complex non-linear problem to predict mechanical properties of concrete. As a...
Application of neural networks to an emerging financial market: Forecasting and trading the Taiwan stock index
Application of neural networks to an emerging financial market: Forecasting and trading the Taiwan stock index
2003,
In this study, we attempt to model and predict the direction of return on market index...
Data mining for network intrusion detection: A comparison of alternative methods
Data mining for network intrusion detection: A comparison of alternative methods
2001,
Intrusion detection systems help network administrators prepare for and deal with...
Using neural network rule extraction and decision tables for credit-risk evaluation
Using neural network rule extraction and decision tables for credit-risk evaluation
2003,
Credit-risk evaluation is a very challenging and important management science problem...
Modelling and diagnosis of feedback-controlled processes using dynamic principal components analysis and neural networks
Modelling and diagnosis of feedback-controlled processes using dynamic principal components analysis and neural networks
2003,
Statistical Process Control (SPC) and Engineering Process Control (EPC) have evolved...
The effect of incentive schemes and organizational arrangements on the new product development process
The effect of incentive schemes and organizational arrangements on the new product development process
2001,
This paper proposes a new model for studying the new product development process in an...
Leveraging the strengths of choice models and neural networks: A multiproduct comparative analysis
Leveraging the strengths of choice models and neural networks: A multiproduct comparative analysis
2002,
Choice models and neural networks are two approaches used in modeling selection...
A comparison of selected artificial neural networks that help auditors evaluate client financial viability
A comparison of selected artificial neural networks that help auditors evaluate client financial viability
2000,
This study compares the performance of three artificial neural network (ANN)...
Marketing category forecasting: An alternative of Bayesian vector autoregression – artificial neural networks
Marketing category forecasting: An alternative of Bayesian vector autoregression – artificial neural networks
2000,
Analyzing scanner data in brand management activities presents unique difficulties due...
Using neural networks for identifying organizational improvement strategies
Using neural networks for identifying organizational improvement strategies
2002,
The struggle to remain competitive in the global marketplace occupies much of the...
Adaptive non-parametric efficiency frontier analysis: A neural-network-based model
Adaptive non-parametric efficiency frontier analysis: A neural-network-based model
2003,
There have been two schools of efficiency analysis for private and public...
Using neural network function approximation for optimal design of continuous-state parallel–series systems
Using neural network function approximation for optimal design of continuous-state parallel–series systems
2003,
This paper presents a novel continuous-state system model for optimal design of...
Improving health care organizational management through neural network learning
Improving health care organizational management through neural network learning
2002,
In order to provide more ethical and objective measures of the likelihood of Intensive...
Artificial neural network based predictive method for flood disaster
Artificial neural network based predictive method for flood disaster
2002,
Most of flood disaster predictions belong to ill-structured problems, while artificial...
A comparative study of neural network and Box–Jenkins ARIMA modeling in time series prediction
A comparative study of neural network and Box–Jenkins ARIMA modeling in time series prediction
2002,
This paper aims to investigate suitable time series models for repairable system...
Process optimisation via neural network metamodeling
Process optimisation via neural network metamodeling
2002,
Queuing systems are often used to model manufacturing or communication systems....
Modelling and evaluating service quality measurement using neural networks
Modelling and evaluating service quality measurement using neural networks
2002,
Effective measurement and analysis of service quality are an essential first step in...
Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: A case study in romantic decision support
Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: A case study in romantic decision support
2002,
The 21st century is seeing technological advances that make it possible to build more...
Development and adaptation of constructive probabilistic neural network in freeway incident detection
Development and adaptation of constructive probabilistic neural network in freeway incident detection
2002,
This paper investiages the use of constructive probabilistic neural network (CPNN) in...
Neural network modeling of vehicle discharge headway at signalized intersection: Model descriptions and results
Neural network modeling of vehicle discharge headway at signalized intersection: Model descriptions and results
2002,
Vehicle discharge headway at signalized intersections is of great importance in...
Integration of self-organizing feature map and K-means algorithm for market segmentation
Integration of self-organizing feature map and K-means algorithm for market segmentation
2002,
Cluster analysis is a common tool for market segmentation. Conventional research...
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