Machine learning and serving of discrete field theories

A method for machine learning and serving of discrete field theories in physics is developed. The learning algorithm trains a discrete field theory from a set of observational data on a spacetime lattice, and the serving algorithm uses the learned discrete field theory to predict new observations of...

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Bibliographic Details
Published in:	Scientific reports Vol. 10; no. 1; p. 19329
Main Author:	Qin, Hong
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 09.11.2020 Nature Publishing Group
Subjects:	639/705/1046 639/766/259 Algorithms Artificial intelligence Differential equations Humanities and Social Sciences information theory and computation Learning algorithms Machine learning MATHEMATICS AND COMPUTING multidisciplinary Oscillations Science Science (multidisciplinary) scientific data Theory of relativity
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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