Exploring the application of neural networks in predictions of nuclear binding energies
In this project the locations of the proton and neutron drip-lines are predicted using neural networks and theoretical data obtained by applying the HFBTHO program. For each of the neural networks a comparison is made between neural network predictions and experimental data in the region experimental data exists. By comparing the effectiveness of the networks at reproducing experimental results wi
