期刊
BUILDING AND ENVIRONMENT
卷 39, 期 10, 页码 1235-1242出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2004.02.013
关键词
multiple regression analysis; neural networks; case-based reasoning; cost estimation
Adequate estimation of construction costs is a key factor in construction projects. This paper examines the performance of three cost estimation models. The examinations are based on multiple regression analysis (MRA), neural networks (NNs), and case-based reasoning (CBR) of the data of 530 historical costs. Although the best NN estimating model gave more accurate estimating results than either the MRA or the CBR estimating models, the CBR estimating model performed better than the NN estimating model with respect to long-term use, available information from result, and time versus accuracy tradeoffs. (C) 2004 Elsevier Ltd. All rights reserved.
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