Rule induction for structural damage identification
2004 (English)In: Proc. Int. Conf. Mach. Learning Cybernetics, 2004, 2865-2869 p.Conference paper (Refereed)
Structural damage identification is becoming a worldwide research subject. Some machine learning methods have been used to solve this problem, and most of them are neural network methods. In this paper, three different rule inductive methods named as Divide-and-Conquer (DAC), Bagging and Separate-and-Conquer (SAC) are investigated for predicting the damage position and extent of a concrete beam. Then radial basis function neural network (RBFNN) is used here for comparative purposes. The rule inductive methods/ especially Bagging are shown to obtain good prediction.
Place, publisher, year, edition, pages
2004. 2865-2869 p.
, Proceedings of 2004 International Conference on Machine Learning and Cybernetics, 5
Bagging, Divide-and-Conquer, Rule induction, Separate-and-Conquer, Structural damage identification, Backpropagation, Data acquisition, Elastic moduli, Information retrieval, Learning systems, Mathematical models, Multilayer neural networks, Radial basis function networks, Identification (control systems)
IdentifiersURN: urn:nbn:se:kth:diva-156946ISI: 000225293600564ScopusID: 2-s2.0-6344229873ISBN: 0780384032OAI: oai:DiVA.org:kth-156946DiVA: diva2:768905
Proceedings of 2004 International Conference on Machine Learning and Cybernetics, 26-29 August 2004, Shanghai, China
QC 201412052014-12-052014-12-042014-12-05Bibliographically approved