Abstract:
:The neural network method has been used for the unfolding of neutron spectra in neutron spectrometry by Bonner spheres. A back propagation algorithm was used for training of neural networks. 4 mm x 4 mm bare LiI (Eu) and in a polyethylene sphere set: 2, 3, 4, 5, 6, 7, 8, 10, 12, 18 inch diameter have been used for unfolding of neutron spectra. Neural networks were trained by 199 sets of neutron spectra, which were subdivided into 6, 8, 10, 12, 15 and 20 energy bins and for each of them an appropriate neural network was designed and trained. The validation was performed by the 21 sets of neutron spectra. A neural network with 10 energy bins which had a mean value of error of 6% for dose equivalent estimation of spectra in the validation set showed the best results. The obtained results show that neural networks can be applied as an effective method for unfolding neutron spectra especially when the main target is neutron dosimetry.
journal_name
Radiat Prot Dosimetryjournal_title
Radiation protection dosimetryauthors
Kardan MR,Setayeshi S,Koohi-Fayegh R,Ghiassi-Nejad Mdoi
10.1093/oxfordjournals.rpd.a006158keywords:
subject
Has Abstractpub_date
2003-01-01 00:00:00pages
27-30issue
1eissn
0144-8420issn
1742-3406journal_volume
104pub_type
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