Original paper
Machine learning approaches to knowledge synthesis and integration tasks for advanced engineering automation
Abstract
This paper introduces machine learning approaches from AI research as knowledge processing tools to synthesize and integrate engineering knowledge for advanced automation. An inductive/deductive decision-making framework, which serves as the foundation of our research, is explained. Machine learning is employed as an automatic model building tool, and as a transformation tool among different knowledge representations. The result from the...
Paper Details
Title
Machine learning approaches to knowledge synthesis and integration tasks for advanced engineering automation
Published Date
Jan 1, 1990
Journal
Volume
15
Issue
1-2
Pages
105 - 120
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