Generic structure of an Artificial Neural Network.

It is composed of an input layer (the Xi nodes) that contains the descriptors developed for the system being studied, a hidden layer (Hi nodes) that combines non-linearly the descriptors in the input layer (through a logistic activation function), and an output layer (Y), that again combines non-linearly the nodes in the hidden layer and produces the output result.