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
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
Date:	June 2000
Volume:	51
Number:	6
Number of Pages:	8
Page Range:	pp. 712-719
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/13339

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