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: | 1-五月-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 |
顯示於類別: | 期刊論文 |