“…The weights, after training, contain meaningful information, whereas, before training, they are random and have no meaning. When a satisfactory level of performance is reached, the training stops, and the network uses these weights to make decisions [52]. A back propagation (BP) algorithm was chosen to calculate the weight values of the network.…”