Modelling of a post-combustion CO2 capture process using deep belief network

Li, F., Zhang, J., Shang, C. et al. (3 more authors) (2018) Modelling of a post-combustion CO2 capture process using deep belief network. Applied Thermal Engineering, 130. pp. 997-1003. ISSN 1359-4311

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in Applied Thermal Engineering. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: CO2capture; Chemical absorption; Deep belief network; Restricted Boltzmann machine
Dates:
  • Published: 5 February 2018
  • Published (online): 20 November 2017
  • Accepted: 16 November 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: 30 Apr 2018 12:27
Last Modified: 20 Nov 2018 01:38
Published Version: https://doi.org/10.1016/j.applthermaleng.2017.11.0...
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.applthermaleng.2017.11.078

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