Lesego Moloko

College of Engineering

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.

By: L. Moloko n, P. Bokov n, X. Wu n  & K. Ivanov n 

author keywords: Deep Neural Networks; Uncertainty Quantification; Monte Carlo Dropout; Clustering analysis; Gaussian Process
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.

By: L. Moloko n, P. Bokov n, X. Wu n  & K. Ivanov n 

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. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 23, 2023

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