Modelling of a post-combustion CO2 capture process using extreme learning machine

Li, F., Zhang, J., Oko, E. et al. (1 more author) (2017) Modelling of a post-combustion CO2 capture process using extreme learning machine. International Journal of Coal Science & Technology, 4 (1). pp. 33-40. ISSN 2095-8293

Abstract

Metadata

Authors/Creators:
  • Li, F.
  • Zhang, J.
  • Oko, E.
  • Wang, M.
Copyright, Publisher and Additional Information: © The Author(s) 2017. 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: CO2 capture; Neural networks; Data-driven modelling; Extreme learning machine
Dates:
  • Published: March 2017
  • Published (online): 23 February 2017
  • Accepted: 13 February 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 10 Apr 2017 14:32
Last Modified: 10 Apr 2017 14:32
Published Version: http://dx.doi.org/10.1007/s40789-017-0158-1
Status: Published
Publisher: SpringerOpen and Springer Verlag (Germany) and China Coal Society
Refereed: Yes
Identification Number: https://doi.org/10.1007/s40789-017-0158-1

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