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Numeric Prediction Algorithms for Bridge Corrosion

  • The research reported in this article was conducted to mainly explore the two common numeric prediction techniques, the model tree and the regression tree, when used in conjunction with bagging as a wrapper method. Bagging is used to improve the prediction accuracy of these two algorithms, and results are compared with the ones obtained earlier by the k-nearest neighbor (KNN) algorithm. From theThe research reported in this article was conducted to mainly explore the two common numeric prediction techniques, the model tree and the regression tree, when used in conjunction with bagging as a wrapper method. Bagging is used to improve the prediction accuracy of these two algorithms, and results are compared with the ones obtained earlier by the k-nearest neighbor (KNN) algorithm. From the conducted experiments, both the bagged regression tree and bagged model tree produce better results than not only their corresponding regression tree and model tree alone, but also the KNN with optimal value of k equal to 7. In addition, the bagged model tree yields the lowest prediction errors and a highest correlation coefficient of 0.81. It is demonstrated that it is feasible to use the bagged model tree for engineering applications in prediction problems such as estimating the remaining service life of bridge decks.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Author: Hani Melhem, Yousheng Cheng
DOI (Cite-Link):https://doi.org/10.25643/bauhaus-universitaet.198Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20111215-1982Cite-Link
Language:English
Date of Publication (online):2004/11/09
Year of first Publication:2004
Release Date:2004/11/09
Institutes:Fakultät Bauingenieurwesen / Professur Informatik im Bauwesen
GND Keyword:Hochschulbildung; Entscheidungsunterstützung; Brückenbau; Korrosion; Prognose
Source:International Conference on Computing in Civil and Building Engineering , ICCCBE , 10 , 2004.06.02-04 , Weimar , Bauhaus-Universität
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
BKL-Classification:54 Informatik / 54.89 Angewandte Informatik: Sonstiges
56 Bauwesen / 56.03 Methoden im Bauingenieurwesen
Collections:Bauhaus-Universität Weimar / International Conference on Computing in Civil and Building Engineering, ICCCBE, Weimar / International Conference on Computing in Civil and Building Engineering, ICCCBE, Weimar 10. 2004
Licence (German):License Logo In Copyright