  In gamma-ray spectroscopy, a number of neutrons are emitted from the nuclei
together with the gamma-rays and these neutrons influence gamma-ray spectra. An
obvious method of separating between neutrons and gamma-rays is based on the
time-of-flight (tof) technique. This work aims obtaining tof distributions of
gamma-rays and neutrons by using feed-forward artificial neural network (ANN).
It was shown that, ANN can correctly classify gamma-ray and neutron events.
Testing of trained networks on experimental data clearly shows up tof
discrimination of gamma-rays and neutrons.
