Determination of multi-component flow process parameters based on electrical capacitance tomography data using artificial neural networks

Mohamad-Saleh, J. and Hoyle, B.S. (2002) Determination of multi-component flow process parameters based on electrical capacitance tomography data using artificial neural networks. Measurement Science and Technology, 13 (12). pp. 1815-1821. ISSN 1361-6501

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Authors/Creators:
  • Mohamad-Saleh, J.
  • Hoyle, B.S.
Copyright, Publisher and Additional Information: Copyright © 2002 Institute of Physics Publishing. This is an author produced version of a paper published in Measurement Science and Technology. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination.
Keywords: electrical capacitance tomography, neural networks, process interpretation, multi-component flows
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Integrated Information Systems (Leeds)
Depositing User: Sherpa Assistant
Date Deposited: 25 Oct 2005
Last Modified: 20 Sep 2016 03:48
Published Version: http://ej.iop.org/links/q10/mLSO1diTthrWJk5bzcSrMQ...
Status: Published
Refereed: Yes
Identification Number: 10.1088/0957-0233/13/12/303

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