Analysis on the Accuracy of Building Construction Cost Estimation by Activation Function and Training Model Configuration

Ha-Neul Lee; Seok-Heon Yun

doi:10.13161/kibim.2022.12.2.040

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2022 Vol.12, Issue 2 Preview Page Next Page

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

30 June 2022. pp. 40-48

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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.

Keywords

Machine Learning

Construction Cost Forecast

Activation Function

Learning Node

키워드

머신러닝

공사비예측

활성화함수

학습노드

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Information

Publisher :Journal of KIBIM
Publisher(Ko) :한국BIM학회
Journal Title :Journal of KIBIM
Journal Title(Ko) :한국BIM학회논문집
Volume : 12
No :2
Pages :40-48
Received Date : 2022-04-26
Revised Date : 2022-05-11
Accepted Date : 2022-05-16
DOI :https://doi.org/10.13161/kibim.2022.12.2.040

Journal of KIBIM ISSN:2288-1697(Print) 2288-1697(Online) 한국BIM학회논문집

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