Inductive Learning of Synthesis Knowledge
نویسندگان
چکیده
Even though synthesis is a crucial process in engineering design, synthesis knowledge is scarce. Previous studies in the use of machine learning techniques for design domains have concentrated mainly on learning analysis, rather than synthesis, knowledge. This study shows how synthesis knowledge can be acquired by concept formation. The paper evaluates the concept formation program COBWEB, discusses some of its shortcomings and presents extensions intended to broaden the applicability of COBWEB to design domains. The extensions are implemented in ECOBWEB—an enhanced version of COBWEB.
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