Learning heuristics for determining slurry wall panel lengths

Ren-Jye Dzeng*, Nang Fei Pan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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.

Original languageEnglish
Pages (from-to)303-313
Number of pages11
JournalAutomation in construction
Issue number3
StatePublished - 1 May 2006


  • Case-based reasoning
  • Construction scheduling
  • Critique
  • Rule-based
  • Schedule review

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