Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process

Baraka, A., Panoutsos, G. and Cater, S. (2016) Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process. In: IFAC-PapersOnLine. 17th IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing MMM 2016, 31 August—2 September 2016, Vienna, Austria. , pp. 143-148.

Abstract

Metadata

Authors/Creators:
  • Baraka, A.
  • Panoutsos, G.
  • Cater, S.
Copyright, Publisher and Additional Information: © 2016 Elsevier. This is an author produced version of a paper subsequently published in IFAC-PapersOnLine. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: perpetual learning; incremental learning; fuzzy neural networks; granular computing; type-2 fuzzy systems; friction stir welding; metal processing
Dates:
  • Published: 14 November 2016
  • Published (online): 14 November 2016
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 Jan 2017 16:46
Last Modified: 20 Mar 2018 19:48
Published Version: https://doi.org/10.1016/j.ifacol.2016.10.111
Status: Published
Identification Number: https://doi.org/10.1016/j.ifacol.2016.10.111

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