Using Machine Learning Methods to Predict Bias in Nuclear Criticality Safety
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Computational and Theoretical Transport"
DOI: 10.1080/23324309.2019.1585877
Abstract: Abstract This paper describes the application of machine learning (ML) tools to the prediction of bias in the criticality safety analysis. In particular, a set of over 1000 experiments included in the Whisper package were… read more here.
Keywords: predict bias; machine learning; criticality safety;