Keyword: neural networks

Found 847 papers in total
A simulated annealing algorithm for dynamic document retrieval
A simulated annealing algorithm for dynamic document retrieval
2003,
A simulated annealing procedure is proposed as an alternative for scheduling document...
Support vector bankruptcy prediction model with optimal choice of radial basis function kernel parameter values using grid search
Support vector bankruptcy prediction model with optimal choice of radial basis function kernel parameter values using grid search
2005,
Bankruptcy prediction has drawn a lot of research interests in previous literature,...
A neural networks approach for due-date assignment in a wafer fabrication factory
A neural networks approach for due-date assignment in a wafer fabrication factory
2003,
The production processes in a wafer fabrication factory are very complicated and...
Neural networks for railway hazard analysis
Neural networks for railway hazard analysis
1999,
The ability of neural networks to learn by example instead of simply applying a set of...
Neural data envelopment analysis: A simulation
Neural data envelopment analysis: A simulation
2004,
This paper investigates the creation of efficiency measurements structures of...
Machine number, priority rule, and due date determination in flexible manufacturing systems using artificial neural networks
Machine number, priority rule, and due date determination in flexible manufacturing systems using artificial neural networks
2006,
When there is a production system with excess capacity, i.e. more capacity than the...
Improvement heuristic for the flow-shop scheduling problem: An adaptive-learning approach
Improvement heuristic for the flow-shop scheduling problem: An adaptive-learning approach
2006,
We propose an improvement-heuristic approach for the general flow-shop problem (n/m/C...
An improved augmented neural-network approach for scheduling problems
An improved augmented neural-network approach for scheduling problems
2006,
For the task-scheduling problem, we propose an augmented neural-network approach,...
Artificial neural network, induction rules and IRANN to forecast purchasers for a specific product
Artificial neural network, induction rules and IRANN to forecast purchasers for a specific product
2005,
It is effective and desirable for a proper customer relationship management or...
Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem
Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem
2006,
Artificial neural networks have been shown to perform well for two-group...
Non-greedy heuristics and augmented neural networks for the open-shop scheduling problem
Non-greedy heuristics and augmented neural networks for the open-shop scheduling problem
2005,
In this paper we propose some non-greedy heuristics and develop an...
A comparison between Fama and Frenchs's model and artificial neural networks in predicting the Chinese stock market
A comparison between Fama and Frenchs's model and artificial neural networks in predicting the Chinese stock market
2005,
Evidence exists that emerging market stock returns are influenced by a different set...
Forecasting stock market movement direction with support vector machune
Forecasting stock market movement direction with support vector machune
2005,
Support vector machine (SVM) is a very specific type of learning algorithms...
A novel nonlinear ensemble forecasting model incorporating generalized linear autoregression and artificial neural networks for foreign exchange rates
A novel nonlinear ensemble forecasting model incorporating generalized linear autoregression and artificial neural networks for foreign exchange rates
2005,
In this study, we propose a novel nonlinear ensemble forecasting model integrating...
Neural network ensemble strategies for financial decision application
Neural network ensemble strategies for financial decision application
2005,
Considerable research effort has been expended to identify more accurate models for...
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
2005,
We propose a threshold-varying artificial neural network (TV-ANN) approach for solving...
Neural network survival analysis for personal loan data
Neural network survival analysis for personal loan data
2005,
Traditionally, credit scoring aimed at distinguishing good payers from bad payers at...
A neural network application to consumer classification to improve the timing of direct marketing activities
A neural network application to consumer classification to improve the timing of direct marketing activities
2005,
This article develops an alternative estimation approach for classifying new...
Improving pilot mental workload classification through feature exploitation and combination: a feasibility study
Improving pilot mental workload classification through feature exploitation and combination: a feasibility study
2005,
Predicting high pilot mental workload is important to the United States Air Force...
Artificial neural networks application in lake water quality estimation using satellite imagery
Artificial neural networks application in lake water quality estimation using satellite imagery
2004,
Lake water quality monitoring using traditional water sampling and laboratory analyses...
Applying neural network and scatter search to optimize parameter design with dynamic characteristics
Applying neural network and scatter search to optimize parameter design with dynamic characteristics
2005,
Parameter design is critical to enhancing a system's robustness by identifying...
A portable and scalable algorithm for a class of constrained combinatorial optimization problems
A portable and scalable algorithm for a class of constrained combinatorial optimization problems
2005,
This paper presents a portable and scalable approach for a class of constrained...
Parameter design utilization via neural network and genetic algorithm
Parameter design utilization via neural network and genetic algorithm
2000,
Among the many extensive industrial applications which parameter design optimization...
Explanatory rule extraction based on the trained neural network and the genetic programming
Explanatory rule extraction based on the trained neural network and the genetic programming
2006,
This paper deals with the use of neural network rule extraction techniques based an...
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