For this study we represent each atom of a structural configuration by a neural network with the identical architecture and weight parameters. The total potential energy of the of that structure is defined as the sum of the values given by the output nodes of each of the NN. In every NN, all the compute nodes in the hidden layers receive the weighted signals from all the nodes of its previous layer and feeds them forward to all the nodes of the next layer via an activation function as