Neural networks are composed of simple elements operating in parallel. These

elements are inspired by biological nervous systems. As in nature, the network

function is determined largely by the connections between elements. We can

train a neural network to perform a particular function by adjusting the values

of the connections (weights) between elements.

Commonly neural networks are adjusted, or trained, so that a particular input

leads to a specific target output. Such a situation is shown below.