Modeling of gamma-ray energy absorption buildup factors using neural network

Kucuk N.

ANNALS OF NUCLEAR ENERGY, cilt.35, sa.10, ss.1787-1790, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 10
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.anucene.2008.05.005
  • Dergi Adı: ANNALS OF NUCLEAR ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1787-1790
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

This paper presents a new approach based on multilayered perceptrons (MLPs) to compute energy absorption buildup factors. The MLP has been trained by a Levenberg-Marquardt learning algorithm. The model is fast and does not require tremendous computational efforts. The results obtained by using the proposed model are in good agreement with the ANSI/ANS-6.4.3 standard data set. (C) 2008 Elsevier Ltd. All rights reserved.