Artificial intelligence metamodel comparison and application to wind turbine airfoil uncertainty analysis

Ju, Y., Zhang, C. and Ma, L. (2016) Artificial intelligence metamodel comparison and application to wind turbine airfoil uncertainty analysis. ADVANCES IN MECHANICAL ENGINEERING, 8 (5). ISSN 1687-8140

Abstract

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Authors/Creators:
  • Ju, Y.
  • Zhang, C.
  • Ma, L.
Copyright, Publisher and Additional Information: Creative Commons CC-BY: This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/ open-access-at-sage).
Keywords: Support vector regression; artificial neural network; radial basis function; uncertainty analysis; wind turbine airfoil
Dates:
  • Published: 4 May 2016
  • 10 April 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 07 Jul 2016 09:26
Last Modified: 03 Nov 2016 05:50
Published Version: http://dx.doi.org/10.1177/1687814016647317
Status: Published
Publisher: Hindawi Publishing Corporation
Refereed: Yes
Identification Number: https://doi.org/10.1177/1687814016647317
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