Lesego Moloko
College of Engineering
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Works (2)
Updated: July 1st, 2024 07:58
2024 journal article
Clustering and uncertainty analysis to improve the machine learning-based predictions of SAFARI-1 control follower assembly axial neutron flux profiles
ANNALS OF NUCLEAR ENERGY, 206.
author keywords: Deep Neural Networks; Uncertainty Quantification; Monte Carlo Dropout; Clustering analysis; Gaussian Process
open access via arxiv.org (repository)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: June 1, 2024
2023 journal article
Prediction and uncertainty quantification of SAFARI-1 axial neutron flux profiles with neural networks
ANNALS OF NUCLEAR ENERGY, 188.
author keywords: Uncertainty quantification; Deep neural networks; Bayesian Neural Networks; Monte Carlo dropout
TL;DR:
Deep Neural Networks are used to predict the assembly axial neutron flux profiles in the SAFARI-1 research reactor with quantified uncertainties in the ANN predictions and extrapolation to cycles not used in the training process, indicating good prediction and generalization capability.
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Added: March 23, 2023
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