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A sequential method for the development of visual interactive meta-simulation models using neural networks
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UNSPECIFIED (2000) A sequential method for the development of visual interactive meta-simulation models using neural networks. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 51 (6). pp. 712-719. ISSN 0160-5682.
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Abstract
This paper proposes a practical and efficient method for the development of Visual interactive meta-simulation models using neural networks. The method first uses a randomised simulation experimental design to obtain a set of results from a previously validated simulation model. The bootstrap technique is used on these results to generate a series of neural network models that are then trained using back propagation. The visual interactive meta-simulation model consists of the collective response from the trained neural network models. The accuracy of the meta-simulation model is assessed using the bootstrap technique and improved accuracy obtained by increasing the size of the randomised simulation experimental design set and re-training. This paper describes the approach, gives results for Eve example problems and suggests that the method is a practical extension to visual interactive simulation.
Item Type: | Journal Article | ||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management | ||||
Journal or Publication Title: | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | ||||
Publisher: | NATURE PUBLISHING GROUP | ||||
ISSN: | 0160-5682 | ||||
Official Date: | June 2000 | ||||
Dates: |
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Volume: | 51 | ||||
Number: | 6 | ||||
Number of Pages: | 8 | ||||
Page Range: | pp. 712-719 | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
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