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Title: A neural network approach to the validation of simulation models
Authors: Martens, J
Put, Ferdinand
Pauwels, Karl
Issue Date: 2006
Publisher: IEEE
Host Document: Proceedings of the 2006 Winter Simulation Conference (WSC06) pages:905-910
Conference: Winter Simulation Conference location:Monterey (CA) date:3-6 December 2006
Abstract: We tackle the problem of validating simulation models using neural networks. We propose a neural-network-based method that first learns key properties of the behaviour of alternative simulation models, and then classifies real system behaviour as coming from one of the models. We investigate the use of multi-layer perceptron and radial basis function networks, both of which are popular pattern classification techniques. By a computational experiment, we show that our method successfully allows to distinguish valid from invalid models for a multiserver queueing system.
ISBN: 978-1-4244-0500-8
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Center for Management Informatics (LIRIS), Leuven
Research Group Neurophysiology
Faculty of Business and Economics, Campus Kulak Kortrijk – miscellaneous

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