머신러닝 기법을 활용한 도로공사 환경부하량과 공사비용 추정방법 비교 = Comparative Analysis of Environmental Load and Construction Cost Estimation Method for Road Project Using Machine Learning
'
머신러닝 기법을 활용한 도로공사 환경부하량과 공사비용 추정방법 비교 = Comparative Analysis of Environmental Load and Construction Cost Estimation Method for Road Project Using Machine Learning' 의 주제별 논문영향력
논문영향력 요약
주제
철도,도로,고속 도로의 기술
공사비용
도로프로젝트. 환경부하량
머신 러닝
추정모델
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
900
0
0.0%
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제분류(KDC/DDC)
철도,도로,고속 도로의 기술
1
0
0.0%
주제어
공사비용
1
0
0.0%
도로프로젝트. 환경부하량
1
0
0.0%
머신 러닝
890
0
0.0%
추정모델
7
0
0.0%
계
900
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
'
머신러닝 기법을 활용한 도로공사 환경부하량과 공사비용 추정방법 비교 = Comparative Analysis of Environmental Load and Construction Cost Estimation Method for Road Project Using Machine Learning' 의 참고문헌
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머신러닝 기법을 활용한 도로공사 환경부하량과 공사비용 추정방법 비교 = Comparative Analysis of Environmental Load and Construction Cost Estimation Method for Road Project Using Machine Learning'
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