A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors

Rubio-Solis, A., Panoutsos, G. orcid.org/0000-0002-7395-8418, Beltran-Perez, C. et al. (1 more author) (Accepted: 2019) A Multilayer Interval Type-2 Fuzzy Extreme Learning Machine for the recognition of walking activities and gait events using wearable sensors. Neurocomputing. ISSN 0925-2312 (In Press)

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Published by Elsevier B.V.
Keywords: Multilayer Neural Networks (ML-NNs); Fuzzy Autoencoders (FAEs); Interval Type-2 Fuzzy Logic System (IT2 FLSs); Wearable Sensors; Kernel-based ELM; Direct-defuzzification method; Extreme Learning Machine.
Dates:
  • Accepted: 30 November 2019
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: 03 Dec 2019 09:42
Last Modified: 03 Dec 2019 09:42
Status: In Press
Publisher: Elsevier
Refereed: Yes

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