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Learning design concepts using machine learning techniques

Published online by Cambridge University Press:  27 February 2009

Mary Lou Maher  and
Heng Li
Mary Lou Maher
Affiliation:
Department of Architectural and Design Science, The University of Sydney, Sydney, NSW 2006, Australia
Heng Li
Affiliation:
Department of Architectural and Design Science, The University of Sydney, Sydney, NSW 2006, Australia
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Abstract

The use of machine learning techniques requires the formulation of a learning problem in a particular domain. The application of machine learning techniques in a design domain requires the consideration 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 examines the use of a target representation of design concepts and the application, adaptation, or generation of machine learning techniques to generate design concepts from design examples. The examples are taken from the domain of bridge design. The primary machine learning paradigm considered is concept formation.

Keywords

Machine LearningDesignConcept FormationEmpirical NetworkBridge Design

Information

Type
Articles
Information
AI EDAM , Volume 8 , Issue 2 , Spring 1994 , pp. 95 - 111
Copyright
Copyright © Cambridge University Press 1994

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