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*, P. Bokov*, X. Wu* & K. Ivanov*

author keywords: Deep Neural Networks; Uncertainty Quantification; Monte Carlo Dropout; Clustering analysis; Gaussian Process
Source: Web Of Science
Added: June 24, 2024