2010 | OriginalPaper | Buchkapitel
Finite-element-model Updating Using Artificial Neural Networks
Erschienen in: Finite-element-model Updating Using Computional Intelligence Techniques
Verlag: Springer London
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This chapter implements Bayesian neural networks for finite-element-model updating. This method was tested on a simple beam and an unsymmetrical H-shaped structure and compared with an implementation that was based on the response-surface method. It was observed, on average, that the Bayesian neural-network approach gave more accurate results than the response-surface method did.