한국건축시공학회:학술대회논문집 (Proceedings of the Korean Institute of Building Construction Conference)
- 한국건축시공학회 2019년도 추계 학술논문 발표대회
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- Pages.16-17
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- 2019
인공신경망 및 비선형 회귀분석을 이용한 건설장비의 CO2 배출량 예측 모델 개발
Developing Predictive Modelling of CO2 Emissions of Construction Equipment Using Artificial Neural Network and Non-linear Regression
초록
In order to measure the amount of carbon dioxide emitted from the construction sites, many literature which have been conducted have proposed methodologies for calculating coefficients based on actual data collections for estimating the emission formula. The existing data collected under controlled conditions not on site measurement were too limited to apply in actual sites. The purpose of this study is to conduct analysis based on the data measured in fields and to present predictive models using artificial neural network and nonlinear regression analysis for appropriate predictions and practical applications.
키워드