標題: Learning heuristics for determining slurry wall panel lengths
作者: Dzeng, RJ
Pan, NF
土木工程學系
Department of Civil Engineering
關鍵字: construction scheduling;critique;schedule review;rule-based;case-based reasoning
公開日期: 1-May-2006
摘要: Determining panel lengths for slurry walls is an engineering issue that involves complex geotechnical, design, and site considerations. In practice, the decision is made through a trial-and-error process. Relevant principles extracted from experts are not sufficiently detailed to generate a solution. This research proposes an inductive learning model for solving this problem. Given a new project whose panel lengths need to be determined, the model chooses similar cases from existing cases, based on case-based reasoning, performs an inductive learning, and uses correctness and coverage rates, and then static rules to verify the induced results. (c) 2005 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.autcon.2005.06.003
http://hdl.handle.net/11536/12353
ISSN: 0926-5805
DOI: 10.1016/j.autcon.2005.06.003
期刊: AUTOMATION IN CONSTRUCTION
Volume: 15
Issue: 3
起始頁: 303
結束頁: 313
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