박사

머신러닝 기법을 활용한 도로공사 환경부하량과 공사비용 추정방법 비교 = Comparative Analysis of Environmental Load and Construction Cost Estimation Method for Road Project Using Machine Learning

김준수 2020년
논문상세정보
' 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 선정 방법
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%

' 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

  • ¡°integrated information System for Environmental and Economic Evaluation¡±
    [2010]
  • ¡°The study for image processing based real-time road surfaceCondition discrimination method using Support Vector Machine¡±
    pp . 465-469 [2013]
  • ¡°Sustainability Analysis of Earthmoving Operations.¡± Preceeding of the 2009 Winter SimulationConference.
    [2009]
  • ¡°R deep learning essentials¡± , Pubilsher of Aicon ( in Korea )
    [2017]
  • ¡°R Machine Learning By Example¡± , Pubilsher of Aicon ( in Korea )
    [2017]
  • ¡°Prediction ofCarbonation Progress ofConcrete Using Deep Learning¡±
    Vol . 29 , No . 1 , pp.171¡­172 ( in Korea ) [2017]
  • ¡°Practical Statistics for Data Scientists¡± , Pubilsher of Hanbit ( in Korea )
    [2018]
  • ¡°Oil Price Forecasting Based on Machine Learning Techniques¡± Journal of the
    Vol . 37 , No.1 , pp.64¡­73 ( in Korea [2011]
  • ¡°Mastering Machine Learning with R¡± , Pubilsher of Aicon ( in Korea )
    [2018]
  • ¡°Life-Cycle Assessment Modeling ofConstruction Processes for Buildings¡± J. Infrastruct
    16 ( 3 ) , 199-205 . [2010]
  • ¡°Learning Quantitative Finance with R¡± , Pubilsher of Aicon ( in Korea )
    [2017]
  • ¡°Key Aspects and Implications ofClimateChange Litigation in the European Union and the United States : With Focus on Emissions Trading Scheme¡±
    Vol . 32 , No.2 , pp.317-348 [2016]
  • ¡°Importance of Operationl Efficiency to Achieve Energy Efficiency and Exhaust Emission Reduction ofConstruction Operations.¡± Journal ofConstruction Engineering and management.
    [2012]
  • ¡°How do machines think and learn ? ¡± , Pubilsher of Hanbit ( in Korea )
    [2018]
  • ¡°Forecasting the Precipitation of the Next Day Using Deep Learng¡±
    Vol . 26 , No . 2 , pp.93¡­98 ( in Korea [2016]
  • ¡°EstimatingConstruction Project Environmental Effects Using an Input-Output-Based Hybrid Life-Cycle Assessment Model.¡± J. Infrastruct
    14 ( 4 ) , 327-336 . [2008]
  • ¡°Economic Input-Output Life-cycle Assessment of U.S .
    8 ( 4 ) , 132 ? 138 . [2002]
  • ¡°Economic Analysis for KoreaConstruction Industry in Korea 2018¡± Report of Korea Research Intitute forConstruction policy ( in Korea )
    [2017]
  • ¡°Development of Greenhouse Gas Monitoring Systen forConstruction Procjection¡±
    [2014]
  • ¡°Deep Learning with R¡± , Pubilsher of Jpub ( in Korea )
    [2019]
  • ¡°Decision-Support Tool for Assessing the Environmental Effects ofConstructionCommercial Buildings.¡± Journal of Architectural Engineering.
    12 ( 4 ) , 187-195 [2006]
  • ¡°Civil Engineering of Theory¡± Pubilsher of Goomibook ( in Korea )
    [2008]
  • ¡°Case Study of Economic Efficiency Evaluation about Green ResidentialComplex¡±
    pp.47-48 [2014]
  • ¡°Calculation of Greenhouse Gas Emissions for HighwayConstruction Operations by Using a Hybrid Life-Cycle Assessment Approach :Case Study for Pavement Operations.¡± J.Constr
    137 ( 11 ) , 1015-1025 [2011]
  • ¡°Artificial Neural Network based Energy Demand Prediction for the Urban District Energy Planning¡±
    [2010]
  • ¡°An analysis of environmental factors and efficiency in the apartment housing projects Focused on Energy and Environmental Load Reduction Factors.¡± Journal of Architectural Institute of Korea
    Vol . 27 , No . 11 , pp . 203-210 ( in Korea ) [2011]
  • ¡°An Integrated Framework for SustainableConstruction Processes : Understanding and Managing the Environmental performance ofConstrution Operations.¡± Doctoral dissertation ,
    [2012]
  • ¡°ACritical Study on ¡°Green Growth¡± as Policy Directive for Environmental Law¡° ,
    Vol . 32 , No.2 , pp.317-348 [2010]
  • ¡°A Study on the Economic Analysis of Green Building Technologies Applied to House at the Users¡¯ Viewpoint¡±
    pp.441-442 [2015]
  • ¡°A Study on the Development Prospects of BuildingConstruction Productivity throughConstruction Status Analysis¡±
    pp . 242 - 257 [2012]
  • ¡°A Study on the Analysis of the Peak Time of Greenhouse Gas Emissions in Korea¡± ,
    [2018]
  • ¡°A Study on Apartment Price Models Using Regression Model and Neural Network Model¡± ,
    [2004]
  • ¡°A Fundamental Study on InternationalComparison of Labor Productivity inConstruction Industry¡±
    Vol . 18 , No . 1 , pp.310-311 ( in Korea [2018]
  • Y. S. ( 2010b ) MRA Revision Model based on CBR for Cost Prediction in Early Stage
  • Study on the application method of life cycle assessment to evaluate environmental impact in construction Doctor of thesis
    [2007]
  • Report of Ministry of Land, Infrastructure, and Transport (2016)
    [2016]
  • Report of Ministry of Land, Infrastructure, and Transport (2015)
    [2015]
  • Report of Korea National Environmental Technology Information Center, (2010)
  • Report of Korea Expressway Corporation (2014)
  • Report of Korea Environment Institute, (2012)
  • Report of Development of Construction Cost Estimating System for Public Construction Projects in Korea (2011)
  • Report of Construction Economic Research Institute of Korea (2012)
  • Regrssion Shrinkage and Selection vis the LASSO ,
    Vol 58 , No 1 , pp.267-288 [1996]
  • Predicting 24-hours Ahead Photovoltaic Power Output Using Support Vector Regression
    [2016]
  • J. H. ¡° Prediction of Monthly Transition of the Composition Stock Price Index Using Error Back-propagation Method¡±
  • Comparative Analysis between GDP Deflator Method and Index Adjustment Rate Method on BTL Sewer Rehabilitation Projects in Jeju ,
    [2015]
  • Assessment ofCo2 Emissions of Vehicles in Highway Sections Using PrincipalComponent Analysis . ``
    [2013]
  • An Environmental Load Estimation Model for Road Earthwork in the Planning Phase of National Highway Project Based on LCA
    [2017]
  • Aggregate Effects of the intended Nationally Determined contribution : an Update
    [2016]
  • A logical calculus of the ideas immanent in nervous activity
    5 , pp . 115¡­133 [1943]
  • A Study on PredictingConstructionCost of Apartment Housing Projects Based onCase Based Reasoning Technique at the Early Project Stage
  • 2010a ) A Study on the Model for Estimating Approximate Construction Cost by using Case-Based Reasoning Method