활성화함수와 학습노드 진행 변화에 따른 건축 공사비 예측성능 분석

• 영문명: Analysis on the Accuracy of Building Construction Cost Estimation by Activation Function and Training Model Configuration
• 발행기관: 한국BIM학회
• 저자명: 이하늘(Lee, Ha-Neul) 윤석헌(Yun, Seok-Heon)
• 간행물 정보: 『KIBIM Magazine』12권 2호, 40~48쪽, 전체 9쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2022.06.30

영문 초록

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.

목차

1. 서 론

2. 선행연구 및 사례

3. 건축 공사비 예측모델의 분석

4. 결 론

감사의 글

References

키워드

머신러닝 공사비예측 활성화함수 학습노드 Machine Learning Construction Cost Forecast Activation Function Learning Node