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A novel adaptation approach for electromagnetic device optimization

A novel adaptation approach for electromagnetic device optimization A novel adaptation approach for electromagnetic device optimization The ability of case-based reasoning systems to solve new problems mainly depends on their case adaptation knowledge and adaptation strategies. In order to carry out a successful case adaptation in our case-based reasoning system for a low frequency electromagnetic device design, we make use of semantic networks to organize related domain knowledge, and then construct a rule-based inference system which is based on the network. Furthermore, based on the inference system, a novel adaptation algorithm is proposed to derive a new device case from a real-world induction motor case-base with high dimensionality. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Electrical Engineering de Gruyter

A novel adaptation approach for electromagnetic device optimization

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Publisher
de Gruyter
Copyright
Copyright © 2011 by the
ISSN
0004-0746
DOI
10.2478/v10171-011-0039-y
Publisher site
See Article on Publisher Site

Abstract

A novel adaptation approach for electromagnetic device optimization The ability of case-based reasoning systems to solve new problems mainly depends on their case adaptation knowledge and adaptation strategies. In order to carry out a successful case adaptation in our case-based reasoning system for a low frequency electromagnetic device design, we make use of semantic networks to organize related domain knowledge, and then construct a rule-based inference system which is based on the network. Furthermore, based on the inference system, a novel adaptation algorithm is proposed to derive a new device case from a real-world induction motor case-base with high dimensionality.

Journal

Archives of Electrical Engineeringde Gruyter

Published: Dec 1, 2011

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