Evolutionary extreme learning machine for the interval type-2 radial basis function neural network: A fuzzy modelling approach

Rubio-Solis, A., Martinez-Hernandez, U. and Panoutsos, G. (2018) Evolutionary extreme learning machine for the interval type-2 radial basis function neural network: A fuzzy modelling approach. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 08-13 Jul 2018, Rio de Janeiro, Brazil. IEEE . ISBN 978-1-5090-6020-7

Abstract

Metadata

Authors/Creators:
  • Rubio-Solis, A.
  • Martinez-Hernandez, U.
  • Panoutsos, G.
Copyright, Publisher and Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Interval type-2 fuzzy logic systems; RBF neural networks; extreme learning machine; Particle Swarm Optimisation (PSO); fuzzy modelling
Dates:
  • Accepted: 12 April 2018
  • Published (online): 15 October 2018
  • Published: 15 October 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 12 Apr 2018 10:11
Last Modified: 03 Jan 2019 12:11
Published Version: https://doi.org/10.1109/FUZZ-IEEE.2018.8491583
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/FUZZ-IEEE.2018.8491583

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