Design and analysis of recurrent neural network models with non‐linear activation functions for solving time‐varying quadratic programming problems

Zhang, X., Chen, L., Li, S. et al. (3 more authors) (2021) Design and analysis of recurrent neural network models with non‐linear activation functions for solving time‐varying quadratic programming problems. CAAI Transactions on Intelligence Technology, 6 (4). pp. 394-404. ISSN 2468-2322

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Copyright, Publisher and Additional Information: © 2021 The Authors. CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology. This is an open access article under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Accepted: 17 November 2020
  • Published (online): 15 March 2021
  • Published: 16 November 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 30 Mar 2021 13:12
Last Modified: 10 Feb 2022 14:50
Status: Published
Publisher: Institution of Engineering and Technology (IET)
Refereed: Yes
Identification Number: https://doi.org/10.1049/cit2.12019

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