2010 | OriginalPaper | Chapter
Finite-element-model Updating Using Artificial Neural Networks
Published in: Finite-element-model Updating Using Computional Intelligence Techniques
Publisher: Springer London
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.