Journal of KIBIM (한국BIM학회 논문집)

Korean Institute of Building Information Modeling (한국BIM학회)
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Analysis on the Accuracy of Building Construction Cost Estimation by Activation Function and Training Model Configuration

활성화함수와 학습노드 진행 변화에 따른 건축 공사비 예측성능 분석

  • 이하늘 (경상국립대학교 건축도시토목공학부) ;
  • 윤석헌 (경상국립대학교)
  • Received : 2022.04.26
  • Accepted : 2022.05.16
  • Published : 2022.06.30
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Abstract

It is very important to accurately predict construction costs in the early stages of the construction project. However, it is difficult to accurately predict construction costs with limited information from the initial stage. In recent years, with the development of machine learning technology, it has become possible to predict construction costs more accurately than before only with schematic construction characteristics. Based on machine learning technology, this study aims to analyze plans to more accurately predict construction costs by using only the factors influencing construction costs. To the end of this study, the effect of the error rate according to the activation function and the node configuration of the hidden layer was analyzed.

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Acknowledgement

본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호 22AATD-C163269-02).

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