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한국건설관리학회|논문집 2009년 5월

논문명	Neural Network Model for Construction Cost Prediction of Apartment Projects in Vietnam
저자명	Van Truong Luu(Van Truong Luu) ; 김수영(Soo-Yong Kim)
발행사	한국건설관리학회
수록사항	한국건설관리학회 논문집, Vol.10 No.3 (2009-05)
페이지	시작페이지(139) 총페이지(9)
ISSN	1229-7534
주제분류	시공(적산)
주제어	; artificial neural networks(ANN) ; Neural networks ; cost model ; prediction ; total construction cost ; Vietnam
요약2	Accurate construction cost estimation in the initial stage of building project plays a key role for project success and for mitigation of disputes. Total construction cost(TCC) estimation of apartment projects in Vietnam has become more important because those projects increasingly rise in quantity with the urbanization and population growth. This paper presents the application of artificial neural networks(ANNs) in estimating TCC of apartment projects. Ninety-one questionnaires were collected to identify input variables. Fourteen data sets of completed apartment projects were obtained and processed for training and generalizing the neural network(NN). MATLAB software was used to train the NN. A program was constructed using Visual C++ in order to apply the neural network to realistic projects. The results suggest that this model is reasonable in predicting TCCs for apartment projects and reinforce the reliability of using neural networks to cost models. Although the proposed model is not validated in a rigorous way, the ANN-based model may be useful for both practitioners and researchers. It facilitates systematic predictions in early phases of construction projects. Practitioners are more proactive in estimating construction costs and making consistent decisions in initial phases of apartment projects. Researchers should benefit from exploring insights into its implementation in the real world. The findings are useful not only to researchers and practitioners in the Vietnam Construction Industry(VCI) but also to participants in other developing countries in South East Asia. Since Korea has emerged as the first largest foreign investor in Vietnam, the results of this study may be also useful to participants in Korea.
소장처	한국건설관리학회
언어	영어

분석서지
건설관리 > 프로젝트관리 > 원가관리 이 연구는 ANNs(artificial neural networks)를 이용해 아파트 공사의 총공사비(TCC; Total construction cost)를 예측하였다. 입력변수들을 규명하기 위해서 91개의 questionnaires를 선정하였다. NN(neural network)를 추론하기 위해 14개 아파트 프로젝트의 데이터를 수집하여 프로세싱하였다. NN는 분석을 위해 MATLAB 소프트웨어를 사용하였으며, NN을 적용하기 위해 실제 현장적용을 위해 Visual C++을 이용하여 프로그래밍 하였다.