Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways