Interpretable machine learning: Convolutional neural networks with RBF fuzzy logic classification rules

Xi, Z. and Panoutsos, G. (2019) Interpretable machine learning: Convolutional neural networks with RBF fuzzy logic classification rules. In: 2018 International Conference on Intelligent Systems. 2018 International Conference on Intelligent Systems, 25-27 Sep 2018, Funchal, Madeira, Portugal. IEEE , pp. 448-454. ISBN 978-1-5386-7097-2

Abstract

Metadata

Authors/Creators:
  • Xi, Z.
  • 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: Fuzzy Logic; Deep Learning; Convolutional Neural Networks
Dates:
  • Accepted: 27 August 2018
  • Published (online): 9 May 2019
  • Published: 9 May 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: 07 Sep 2018 11:40
Last Modified: 09 May 2020 00:38
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/IS.2018.8710470

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