论文信息 - Explanation-based machine learning in engineering design

Explanation-based machine learning in engineering design

Abstract The development of an unguided or automatic learning system in the domain of structural design is reported. The machine learning technique used is Explanation-Based Learning (EBL). A prototype system, called Structural Design Learning System (SDLS), has been developed in a combination of Prolog and Pascal languages. SDLS includes a modified implementation of EBL in Prolog, where the two stages of explanation and generalization are combined into one stage. A more-formal definition of the operationality criterion suitable for the domain of structural design is proposed and used in SDLS.

Hojjat Adeli | C. Yeh

[1] W. M. Kim Roddis,et al. Using PROLOG on a Macintosh to Build an Engineering Expert System , 1988 .

[2] Hojjat Adeli,et al. Computer-aided design of structures using LISP , 1986 .

[3] Anne Lohrli. Chapman and Hall , 1985 .

[4] Hojjat Adeli,et al. Architecture of a coupled expert system for optimum design of plate girder bridges , 1988 .

[5] Hojjat Adeli,et al. Application of a coupled system for optimum design of plate girder bridges , 1989 .

[6] Hojjat Adeli,et al. A Novel Approach to Expert Systems for Design of Large Structures , 1988, AI Mag..

[7] Mary Lou Maher. Expert systems for structural design , 1987 .

[8] Hojjat Adeli,et al. STEELEX: A coupled expert system for integrated design of steel structures , 1988 .

[9] H. Adeli,et al. Representation of Structural Design Knowledge in a Symbolic Language , 1988 .

[10] Hojjat Adeli,et al. A Knowledge‐Based System for Design of Bridge Trusses , 1988 .