DocumentCode :
1535206
Title :
Optimization of electromagnetic devices using sensitivity information from clustered neuro-fuzzy models
Author :
Rashid, Kashif ; Ramírez, Jaime A. ; Freeman, Ernest M.
Author_Institution :
Imperial Coll. of Sci., Technol. & Med., London, UK
Volume :
37
Issue :
5
fYear :
2001
fDate :
9/1/2001 12:00:00 AM
Firstpage :
3575
Lastpage :
3578
Abstract :
The extraction of sensitivity information from a clustered neuro-fuzzy model is addressed in this paper. Subsequently, this permits the application of deterministic methods on the approximated objective function, significantly improving the optimization process. Results from an analytical and a practical electromagnetic problem, which show the applicability of the formulation, are presented
Keywords :
electromagnetic devices; fuzzy neural nets; optimisation; approximated objective function; clustered neuro-fuzzy models; deterministic methods; electromagnetic devices; electromagnetic problem; optimization process; sensitivity information; Data mining; Electromagnetic analysis; Electromagnetic devices; Fuzzy neural networks; Input variables; Optimization methods; Physics computing; Predictive models; Signal generators; Stochastic processes;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.952665
Filename :
952665
Link To Document :
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