Supervised learning in artificial neural networks

This paper will present two different approaches to supervised learning in artificial neural networks. The back propagation algorithm and Genetic algorithms. We will also give a brief introduction to multi layered perceptrons, neural networks. The main part focuses on how, why and when back propagation and genetic algorithms should be used and a brief introduction as to how they both work. the article will end with a summary, conclusion and some points for discussion on the subject.