Training a neural network is the process of finding a set of weight and bias values so that for a given set of inputs, ... Back-propagation is by far the most common neural-network training algorithm, ...

They trained the neural network using a Genetic Algorithm, which mimics natural selection, and a Levenberg–Marquardt algorithm, which is useful for solving systems of non-linear equations.