A novel logistic-NARX model as a classifier for dynamic binary classification

Ayala Solares, J.R., Wei, H. orcid.org/0000-0002-4704-7346 and Billings, S.A. (2017) A novel logistic-NARX model as a classifier for dynamic binary classification. Neural Computing & Applications. ISSN 0941-0643

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 Springer Verlag. This is an author produced version of a paper subsequently published in Neural Computing and Applications. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Nonlinear system identification; Dynamic systems; Binary classification; NARX models; Logistic regression
Dates:
  • Published (online): 27 April 2017
  • Accepted: 24 March 2017
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: 09 May 2017 14:34
Last Modified: 27 Apr 2018 00:39
Published Version: https://doi.org/10.1007/s00521-017-2976-x
Status: Published online
Publisher: Springer Verlag
Refereed: Yes
Identification Number: https://doi.org/10.1007/s00521-017-2976-x

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