Authors:V. Doostmohammadi, D. Sardari, and A. Nasrabadi
Prompt gamma spectrum produced by thermal neutron absorption and fast neutron inelastic scattering is simulated using Monte
Carlo code MCNP4C. The simulated spectrum is analyzed with artificial neural network techniques. The neural network in our
study is trained based on back-propagation algorithm with 138 gamma ray spectra. Elements existing in the 20 different substances
are specified. The ANN could identify elements correctly in 96% of input cases.
Authors:Ana Brcković, Monika Kovačević, Marko Cvetković, Iva Kolenković Močilac, David Rukavina, and Bruno Saftić
, artificial neuralnetworks (ANNs) were used, as they had previously proved successful in similar tasks of handling well log and seismic data ( Bhatt 2002 ; Cvetković et al. 2009 , Malvić et al. 2010 , Bagheripour et al. 2013 ).