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The use of semantic networks to adapt a design prototype for electromagnetic device optimization

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2 Author(s)
Jun Ouyang ; Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada ; Lowther, D.A.

The ability of case-based reasoning (CBR) systems to solve new problems mainly depends on their case adaptation knowledge and adaptation strategies. In order to improve the performance of a case-based reasoning paradigm for the creative design of electromagnetic (EM) devices, we have adopted a semantic network to organize related adaptation knowledge, and then construct a rule system as an inference engine which is based on the network. The feasibility of this approach is validated by deriving a novel design prototype from a real-world induction motor case-base with high dimensionality.

Published in:

Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on

Date of Conference:

9-12 May 2010