A Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN

Wang, Ziwei, Trefzer, Martin A orcid.org/0000-0002-6196-6832, Bale, Simon J et al. (1 more author) (2022) A Multi-objective Evolutionary Approach for Efficient Kernel Size and Shape for CNN. In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE

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Item Type: Proceedings Paper
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© IEEE 2022. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:
  • Published: 30 September 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 10 Nov 2023 12:50
Last Modified: 16 Oct 2024 11:25
Published Version: https://doi.org/10.1109/IJCNN55064.2022.9892201
Status: Published
Publisher: IEEE
Identification Number: 10.1109/IJCNN55064.2022.9892201
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