Abstract Neural networks, simply stated, are machines that learn. A neural network consisting of several neurons, which are modeled after the human brain, uses synaptic weights, or interneuron connection strengths, to store acquired knowledge, which can be used in the future. One form of neural networks, feedforward networks, uses multilayer perceptrons, which are layered sets of neurons. This type of network contains an input layer, one or more hidden layers, and an output layer. Further, these...