The theory of Feed Forward Neural Networks was inspired by biological neural networks. Artificial neural networks are only a simple model that can learn in a manner similar to the human brain. The structure of a neural network is to some extent flexible. Because of this it is possible to design a network tailored to the difficulty level of the problem at hand. Artificial neural networks can be used to solve classification as well as approximation problems.