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


ÇAPALI V.

International Conference on Artificial Intelligence and Applied Mathematics in Engineering 2019, Turkey, 20 - 22 April 2019, vol.43, pp.935-936 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 43
  • Doi Number: 10.1007/978-3-030-36178-5_82
  • Country: Turkey
  • Page Numbers: pp.935-936
  • Keywords: Nuclear reaction, Reaction cross section, Artificial neural network

Abstract

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.