Improve or Approximation of Nuclear Reaction Cross Section Data Using Artificial Neural Network

被引：0
|
作者：
Capali, Veli [1 ]
机构：
[1] Usak Univ, TR-64200 Usak, Turkey
来源：
ARTIFICIAL INTELLIGENCE AND APPLIED MATHEMATICS IN ENGINEERING PROBLEMS | 2020年 / 43卷
关键词：
Nuclear reaction; Reaction cross section; Artificial neural network;
D O I：
10.1007/978-3-030-36178-5_82
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study; discusses the using artificial neural networks for approximation of data such as the nuclear reaction cross sections data. The rate of approximation of the fitting criteria is determined by using the experimental and evaluated data. The some reactions cross-section are calculated from data obtained using neural networks. The results show the effectiveness and applicability of this new technique in the calculation of the some nuclear reactions.
引用
收藏
页码：935 / 939
页数：5
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