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Title: The use of neural networks for approximation of nuclear data

The article discusses the possibility of using neural networks for approximation or reconstruction of data such as the reaction cross sections. The quality of the approximation using fitting criteria is also evaluated. The activity of materials under irradiation is calculated from data obtained using neural networks.
Authors:
;  [1]
  1. National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) (Russian Federation)
Publication Date:
OSTI Identifier:
22471898
Resource Type:
Journal Article
Resource Relation:
Journal Name: Physics of Atomic Nuclei; Journal Volume: 78; Journal Issue: 12; Other Information: Copyright (c) 2015 Pleiades Publishing, Ltd.; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; APPROXIMATIONS; CROSS SECTIONS; IRRADIATION; NEURAL NETWORKS; NUCLEAR REACTIONS; RADIOACTIVATION