Yayın: Modeling of gamma-ray energy absorption buildup factors using neural network
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Küçük, Nil
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Elsevier
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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.
Açıklama
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Konusu
Absorption, Artificial intelligence, Energy absorption, Gamma rays, Learning algorithms, Learning, Systems, Pattern recognition systems, Standards, Computational efforts, Data sets, Gamma-ray energies, Levenberg-Marquardt, Multi-layered perceptrons, New approaches, Neural networks, Nuclear science & technology
Alıntı
Küçük, N. (2008). "Modeling of gamma-ray energy absorption buildup factors using neural network". Annals of Nuclear Energy, 35(10), 1787-1790.