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Abstract
Two advanced surrogate model construction techniques are discussed in this paper. The models employ radial basis function (RBF)interpolation scheme or artificial neural networks (ANN) with a new training algorithm. Adaptive sampling technique is applied withrespect to all variables. Histograms showing the quality of the models are presented. While the quality of RBF models is satisfactory, theperformance of the ANN models obtained with a new training scheme is superior and comparable to the rational function models.
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IEEE TRANSACTIONS ON MAGNETICS
no. 45,
pages 1538 - 1541,
ISSN: 0018-9464 - Language:
- English
- Publication year:
- 2009
- Bibliographic description:
- Lamęcki A., Balewski Ł., Mrozowski M.: Adaptive CAD-Model Construction Schemes// IEEE TRANSACTIONS ON MAGNETICS. -Vol. 45, nr. Nr 3, May (2009), s.1538-1541
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/tmag.2009.2012736
- Verified by:
- Gdańsk University of Technology
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