성과공개

성과공개 상세 정보

상세 정보

논문

머신러닝 회귀분석 유형에 따른 총 공사기간 예측 모델에 관한 연구

연도

3차

분류

구성기술2

연구기관

경상국립대학교
Gyeongsang National University

구분2

학술발표

논문명

머신러닝 회귀분석 유형에 따른 총 공사기간 예측 모델에 관한 연구
A Study on the Prediction Model of Total Construction Period according to the Type of Machine Learning Regression

학술지명

한국건축시공학회 학술발표대회

ISSN

학술지 볼륨번호

게재일

논문페이지

주저자명

강윤호
Kang YunHo

교신저자명

윤석헌
Yun SeokHeon

공동저자명

논문 초록

In construction work, there is often a difference between the estimated construction period and the actual construction period. Accordingly, the project may be delayed from the scheduled date, leading to huge losses due to problems such as increased costs during construction. In this way, it is important to calculate the appropriate construction period at the project planning stage in construction work. To solve this problem, we would like to study a model that will increase the accuracy of the scheduled construction period at the project planning stage. This study compared and analyzed linear regression, Lasso regression, Ridge regression among the types of regression analysis to select an appropriate construction period prediction model to secure an appropriate construction period at the project planning stage to reduce problems during construction.

첨부파일

2-C-3-양-03 (국내학술발표)머신러닝 회귀분석 유형에 따른 총 공사기간 예측모델에 관한 연구_경상국립대.pdf