A sequential method for the development of visual interactive meta-simulation models using neural networks
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 0160-5682Full text not available from this repository.
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|
|Official Date:||June 2000|
|Number of Pages:||8|
|Page Range:||pp. 712-719|
Actions (login required)