@article{Ouyang_Jun_A_2011,
 author={Ouyang, Jun and Lowther, David},
 howpublished={online},
 year={2011},
 abstract={<p>
 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.
 </p>},
 type={Artykuły / Articles},
 title={A novel adaptation approach for electromagnetic device optimization},
 volume={vol. 60},
 number={No 4 December},
 pages={473-483},
 journal={Archives of Electrical Engineering},
 publisher={Polish Academy of Sciences},
 doi={10.2478/v10171-011-0039-y},
 keywords={case-based reasoning, case adaptation, semantic networks, electromagnetic devices, optimization},
}