Robust Extreme Learning Machine for Modeling with Unknown Noise

Zhang, J, Li, Y, Xiao, W et al. (1 more author) (2020) Robust Extreme Learning Machine for Modeling with Unknown Noise. Journal of the Franklin Institute, 357 (14). pp. 9885-9908. ISSN 0016-0032

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Journal of the Franklin Institute. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Extreme learning machine; non-Gaussian noise; mixture of Gaussian; expectation maximization algorithm
Dates:
  • Published: September 2020
  • Accepted: 30 June 2020
  • Published (online): 15 July 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Funding Information:
FunderGrant number
Royal SocietyIE161218
Royal SocietyRGS\R2\180237
Depositing User: Symplectic Publications
Date Deposited: 22 Jul 2020 14:56
Last Modified: 15 Jul 2021 00:39
Status: Published
Publisher: Elsevier BV
Identification Number: https://doi.org/10.1016/j.jfranklin.2020.06.027

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