Learning heuristics for determining slurry wall panel lengths

Ren Jye Dzeng, Nang-Fei Pan

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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
Volume15
Issue number3
DOIs
Publication statusPublished - 2006 May 1

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Case based reasoning

All Science Journal Classification (ASJC) codes

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

Cite this

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Learning heuristics for determining slurry wall panel lengths. / Dzeng, Ren Jye; Pan, Nang-Fei.

In: Automation in construction, Vol. 15, No. 3, 01.05.2006, p. 303-313.

Research output: Contribution to journalArticle

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