지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Bayesian network is a form of probabilistic graphical model. It incorporates human reasoning to deal with sparse data availability and to determine the probabilities of uncertain cases. In this research, bayesian network is adopted to model the problem of construction project cost. General information, time, cost, and material, the four main factors dominating the characteristic of construction costs, are incorporated into the model. This research presents verify a model that were conducted to illustrate the functionality and application of a decision support system for predicting the costs. The Markov Chain Monte Carlo (MCMC) method is applied to estimate parameter distributions. Furthermore, it is shown that not all the parameters are normally distributed. In addition, cost estimates based on the Gibbs output is performed. It can enhance the decision the decision-making process.
목차
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참고문헌 (27)
참고문헌 신청
Chou JS / 2007 / Internet-Based Preliminary Highway Construction Cost Estimating Database / Automation in Construction 17(1):65~74
Tam CM / 1999 / Comparative Cost Analysis of Using High Performance Concrete in Tall Building Construction by Artificial Neural Networks / Structural Journal 96(6):927~936
Chou JS / 2005 / Preliminary Cost Estimates Using Probabilistic Simulation for Highway Bridge Replacement Projects / ASCE Proceeding of the Congress
Al-Tabtabai H / 1999 / Preliminary Cost Estimation of Highway Construction Using Neural Networks / Cost Engineering 41(3):19~24
Hegazy T / 1998 / Neural Network Model for Parametric Cost Estimation of Highway Projects / Journal of Construction Engineering and Management 124(3):210~218
Tam CM / 1999 / Comparative Cost Analysis of Using High Performance Concrete in Tall Building Construction by Artificial Neural Networks / Structural Journal 96(6):927~936
Chou JS / 2005 / Preliminary Cost Estimates Using Probabilistic Simulation for Highway Bridge Replacement Projects / ASCE Proceeding of the Congress
Al-Tabtabai H / 1999 / Preliminary Cost Estimation of Highway Construction Using Neural Networks / Cost Engineering 41(3):19~24
Hegazy T / 1998 / Neural Network Model for Parametric Cost Estimation of Highway Projects / Journal of Construction Engineering and Management 124(3):210~218
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