Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression

Liu, T, Chen, S, Li, K orcid.org/0000-0001-6657-0522 et al. (2 more authors) (2023) Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. IEEE Transactions on Cybernetics. ISSN 2168-2267

Abstract

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Keywords: Multioutput gradient radial basis function (MGRBF) network , multivariate nonlinear and nonstationary regression , online adaptive tracking , two-step training
Dates:
  • Accepted: 3 January 2023
  • Published (online): 2 February 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Jan 2023 10:31
Last Modified: 17 May 2023 01:24
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TCYB.2023.3235155

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