A novel computational approach to approximate fuzzy interpolation polynomials

Jafarian, A, Jafari, R orcid.org/0000-0001-7298-2363, Al Qurashi, MM et al. (1 more author) (2016) A novel computational approach to approximate fuzzy interpolation polynomials. SpringerPlus, 5. 1428. ISSN 2193-1801



Copyright, Publisher and Additional Information: © 2016, The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Fuzzy neural networks; Fuzzy interpolation polynomial; Cost function; Learning algorithm
  • Accepted: 15 August 2016
  • Published (online): 27 August 2016
  • Published: December 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 28 Jan 2020 14:17
Last Modified: 28 Jan 2020 14:17
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1186/s40064-016-3077-5