Open AccessEfficient data acquisition and training of collisional-radiative model artificial neural network surrogates through adaptive parameter space sampling
Author(s) -
Nathan Garland,
Romit Maulik,
Qi Tang,
Xian-Zhu Tang,
Prasanna Balaprakash
Publication year - 2022
Publication title -
machine learning science and technology
Language(s) - English
Resource type - Journals
ISSN - 2632-2153
DOI - 10.1088/2632-2153/ac93e7
Subject(s) - bottleneck , artificial neural network , computer science , adaptive sampling , radiative transfer , sampling (signal processing) , training (meteorology) , set (abstract data type) , artificial intelligence , machine learning , physics , monte carlo method , mathematics , statistics , programming language , filter (signal processing) , quantum mechanics , meteorology , computer vision , embedded system
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