Learning heuristics for determining slurry wall panel lengths

Ren Jye Dzeng, Nang-Fei Pan

研究成果: Article同行評審

4 引文 斯高帕斯(Scopus)

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.

原文English
頁(從 - 到)303-313
頁數11
期刊Automation in construction
15
發行號3
DOIs
出版狀態Published - 2006 五月 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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