Variance stabilised optimisation of neural networks: a case study in additive manufacturing

Notley, S.V., Chen, Y., Lee, P.D. et al. (1 more author) (2021) Variance stabilised optimisation of neural networks: a case study in additive manufacturing. In: Proceedings of 2021 International Joint Conference on Neural Networks (IJCNN). 2021 International Joint Conference on Neural Networks (IJCNN), 18-22 Jul 2021, Virtual conference (Shenzhen, China). Institute of Electrical and Electronics Engineers Inc. . ISBN 9781665445979

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Keywords: Variance stabilisation; neural network; multilayer perceptron; reduced chi-square; chi-square per degree of freedom; metal additive manufacturing
Dates:
  • Accepted: 30 April 2021
  • Published (online): 20 September 2021
  • Published: 20 September 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 07 May 2021 09:51
Last Modified: 20 Sep 2022 00:15
Status: Published
Publisher: Institute of Electrical and Electronics Engineers Inc.
Refereed: Yes
Identification Number: https://doi.org/10.1109/IJCNN52387.2021.9533311
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