Calculation and comparison of proton stopping power in different targets using RBF and MLP neural networks

Calculation of stopping power and range of different ions is extremely important due to their special importance at controversy of shielding and health physics. Although the so-called Bethe-Bloch relationship describes well how to reduce the energy of particles, the difference in the interaction mechanisms of ions and light and heavy particles in a wide range of energy values causes that the accurate estimation of this relationship requires various corrections. In this article, in order to simulate stopping power changes in terms of proton inclining beam energy with different ions, artificial neural network and multilayer perceptron techniques will be used. And high efficiency of suggested way for stopping power and range and valid artificial model are achieved by comparing results of the neural network with results of calculating SRIM code and also available experimental data.