Optimisation of Neutron Beams for BNCT Using Artificial Neural Networks

Abstract: We developed a method for fast optimisation of energy spectrum of neutron beams for BNCT using Artificial Neural Networks (ANN). The ANN was trained using a database containing 1000 simulations of the received RBE- oses on a Snyder phantom by the tumour and healthy tissues, for various neutron beams. The calculations were performed with the Monte Carlo code MCNP. The ANN was able to establish a map between beam parameters and doses on the phantom. This map was used by an optimisation algorithm to maximise a given figure of merit