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Construction Crew Productivity Prediction: Application of Two Novel Methods

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Abstract

Various methods have been applied to the construction crew productivity problem. This paper introduces the use of two novel artificial intelligent methods; which are self organizing maps (SOM) and artificial bee colony (ABC). It first presents the results of prediction performances of these two methods and also focuses on the visualization ability of SOM through the presentation of two dimensional maps produced for the current problem. The prediction performances are evaluated by comparing MAPE, MAE and MSE values obtained during the sevenfold cross validation.

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Acknowledgements

Data collection and development of the integrated computer model stages of this research is based on the findings of the research work undertaken as part of a larger project (106M055) sponsored by TÜBITAK (The Scientific and Technical Research Council of Turkey).

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Authors and Affiliations

  1. Civil Engineering Department, Çukurova University, Adana, Turkey

    Emel Laptalı Oral

  2. Computer Engineering Department, Çukurova University, Adana, Turkey

    Mustafa Oral

  3. Civil Engineering Department, Meliksah University, Kayseri, Turkey

    Mehmet Andaç

Authors
  1. Emel Laptalı Oral
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  2. Mustafa Oral
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  3. Mehmet Andaç
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Correspondence to Emel Laptalı Oral.

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Oral, E.L., Oral, M. & Andaç, M. Construction Crew Productivity Prediction: Application of Two Novel Methods. Int. J. Civ. Eng. 14, 181–186 (2016). https://doi.org/10.1007/s40999-016-0009-2

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  • DOI: https://doi.org/10.1007/s40999-016-0009-2

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