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Paper: w78-1993-2-301
Paper title: Learning empirical knowledge to assist preliminary design
Authors: Maher M L, Li H
Summary: The reuse of the experience of design and construction of a major projectis ad hoc and depends on the individuals involved in the project being presenton a similar project in the future. At the same time, the development ofknowledge-based systems to support the design process requires the encodingof previous experience in a form that can be applied to future design projects.Machine learning techniques can be applied to automate the reuse of designexperience and to facilitate the development of design knowledge bases. Theapplication of machine learning techniques in a design domain requires theconsideration of the representation of the learned design knowledge, that is,a target representation, as well as the content and form of the training data,or design examples. This paper proposes a target representation called adesign concept and presents a methodology for learning design concepls fromdesign examples. The method is illustrated by applying it to examples ofbridge designs.
Type:
Year of publication: 1993
Keywords: machine learning; design; conceptual clustering; knowledge-based design
Series: w78:1993
ISSN: 2706-6568
Download paper: /pdfs/w78-1993-2-301.content.pdf
Citation: Maher M L, Li H (1993). Learning empirical knowledge to assist preliminary design. Mathur K S, Betts M P, Tham K W (editors); Management of information technology for construction; Singapore, August 1993 (ISSN: 2706-6568), http://itc.scix.net/paper/w78-1993-2-301
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