- Hiroyuki Koura ()
Deep Learning for Basic Science
Data-driven approaches for nuclear shell-model calculations
Nuclear data generation using machine learning
Exploration of automated data processing for mass production of nuclear data at RIBF
We have developed a method to generate nuclear data using Gaussian process regression (GPR) , which is one of the machine learning techniques. This method generates nuclear data by treating measured data as the training data in machine learning. GPR is based on nonparametric Bayesian inference, the generated nuclear data are expressed as a predictive distribution including uncertainty...