BUILDING KBES FOR DIAGNOSING PC PILE WITH INDUCTIVE LEARNING

In this study, the ID3 algorithm is used to implement iductive learning to build an expert system for diagnosing PCP (prestressed concrete pile) during driving. Results obtained from the inductive learning method are compared with those obtained from the conventional interview method. The paper discusses inductive learning with decision tree, construction and evaluation of decision tree, and information theory and ID3 algorithm. Building expert systems with inductive learning is described, as well as evaluation of inductive learning. Potential applications of inductive learning in civil engineering are discussed.

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: p. 200-219
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00621148
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 30 1992 12:00AM