Decision support model using the AdaBoost algorithm to select formwork systems in high-rise building construction

Yoonseok Shin, Dae Won Kim, Sung Woo Yang, Hun Hee Cho, Kyung In Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Appropriate selection of a formwork system is a crucial factor in successfully completing any high-rise building construction project. However, in practice, the selection of an appropriate formwork system has depended mainly on the intuitive and subjective opinion of practitioners with restricted experience. Therefore, in this study, a decision support model using AdaBoost is proposed to select a formwork system suitable for the construction site conditions. To validate the proposed model, the selection models AdaBoost and ANN were both applied to actual case data of high-rise building construction in Korea. The AdaBoost model showed slightly better accuracy than that of the ANN model. The AdaBoost model can assist engineers to determine the appropriate formwork system at the inception of future projects.

Original languageEnglish
Title of host publicationISARC 2008 - Proceedings from the 25th International Symposium on Automation and Robotics in Construction
PublisherVilnius Gediminas Technical University
Pages644-649
Number of pages6
ISBN (Print)9789955283294
DOIs
Publication statusPublished - 2008
Event25th International Symposium on Automation and Robotics in Construction, ISARC 2008 - Vilnius, Lithuania
Duration: 2008 Jun 262008 Jun 29

Publication series

NameISARC 2008 - Proceedings from the 25th International Symposium on Automation and Robotics in Construction

Other

Other25th International Symposium on Automation and Robotics in Construction, ISARC 2008
Country/TerritoryLithuania
CityVilnius
Period08/6/2608/6/29

Keywords

  • Adaptive boosting (AdaBoost)
  • Artificial neural network (ANN)
  • Decision support model
  • Formwork system
  • High-rise building

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Building and Construction

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