A sequential method for the development of visual interactive meta-simulation models using neural networks

R D Hurrion ()
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R D Hurrion: University of Warwick

Journal of the Operational Research Society, 2000, vol. 51, issue 6, 712-719

Abstract: 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 five example problems and suggests that the method is a practical extension to visual interactive simulation.

Keywords: visual interactive simulation; metamodels; bootstrap; neural networks (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (2)

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DOI: 10.1057/palgrave.jors.2600971

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