Keyword: neural networks

Found 847 papers in total
A neural network procedure for kanban allocation in JIT production control systems
A neural network procedure for kanban allocation in JIT production control systems
2000,
In this paper, we develop a Generalized Systematic Procedure (GSP) for determining the...
Selecting scheduling heuristics using neural networks
Selecting scheduling heuristics using neural networks
2000,
This paper discusses the application of neural networks to select the best heuristic...
Neural network models for the maximum clique problem
Neural network models for the maximum clique problem
2000,
In this paper we describe two neural network based algorithms for the Maximum Clique...
New results for hierarchical bimodal classification and partitioning
New results for hierarchical bimodal classification and partitioning
2000,
We present a study of the main methods for two-mode classification, hierarchical and...
Optimization by simulated annealing for non linear regression: An algorithm and a program
Optimization by simulated annealing for non linear regression: An algorithm and a program
2000,
We present an algorithm that uses the technique of simulated annealing, for the global...
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...
Sequencing jobs on a single machine: A neural network approach
Sequencing jobs on a single machine: A neural network approach
2000,
This paper presents an approach for single machine job sequencing problems that is...
Sequential Gaussian simulation vs. simulated annealing for locating pockets of high-value commercial trees in Pennsylvania
Sequential Gaussian simulation vs. simulated annealing for locating pockets of high-value commercial trees in Pennsylvania
2000,
A continuous map of a forest resource is useful to visualize patterns not evident with...
Diagnosis of MRSA with neural networks and logistic regression approach
Diagnosis of MRSA with neural networks and logistic regression approach
2000,
Antibiotic-resistant pathogens are increasingly prevalent in the hospitals and...
A hybrid Hopfield network–genetic algorithm approach to optimal process plan section
A hybrid Hopfield network–genetic algorithm approach to optimal process plan section
2000,
In the automated manufacturing environment, different sets of alternative process...
Modelling the relationship between process parameters and mechanical properties using Bayesian neural networks for powder metal parts
Modelling the relationship between process parameters and mechanical properties using Bayesian neural networks for powder metal parts
2000,
A neural network based system is presented in this paper for modelling mechanical...
Comparing neuro-dynamic programming alogrithms for the vehicle routing problem with stochastic demands
Comparing neuro-dynamic programming alogrithms for the vehicle routing problem with stochastic demands
2000,
The paper considers a version of the vehicle routing problem where customers' demands...
Artificial neural network for forecasting residential electrical energy
Artificial neural network for forecasting residential electrical energy
1999,
An artificial neural network (ANN) model for forecasting the residential electrical...
Predictable variation and profitable trading of US equities: A trading simulation using neural networks
Predictable variation and profitable trading of US equities: A trading simulation using neural networks
2000,
A switching rule conditioned on out-of-sample one-step-ahead predictions of returns is...
Segmentation-based competitive analysis with MULTICLUS and topology representing networks
Segmentation-based competitive analysis with MULTICLUS and topology representing networks
2000,
Two neural network approaches, Kohonen's self-organizing (feature) map (SOM) and the...
A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice
A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice
2000,
Research in the field of artificial intelligence systems has been exploring the use of...
A neural network representation of linear programming
A neural network representation of linear programming
2000,
This paper demonstrates the flexibility of neural networks for modeling and solving...
Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations
Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations
2000,
In an effort to forecast daily maximum ozone concentrations, many researchers have...
Utilization of artificial neural networks and the temporal difference learning method for constructing intelligent decision support systems
Utilization of artificial neural networks and the temporal difference learning method for constructing intelligent decision support systems
2000,
The use of intelligent techniques in various decision support systems has recently...
Artificial neural networks model of share analysis specialist system
Artificial neural networks model of share analysis specialist system
1999,
In this article, according to the specific characteristics and patterns of share...
Modeling the relationship between corporate strategy and wealth creation using neural networks
Modeling the relationship between corporate strategy and wealth creation using neural networks
2000,
In this paper, we hypothesize that there is a non-linear relationship between...
Neural network credit scoring models
Neural network credit scoring models
2000,
This paper investigates the credit scoring accuracy of five neural network models:...
Forecasting exchange rates using general regression neural networks
Forecasting exchange rates using general regression neural networks
2000,
In this study, we examine the forecastability of a specific neural network...
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