Neural networks learn by adjusting numeric values called weights
and thresholds. A weight specifies how strong of a connection
exists between two neurons. A threshold is a value, stored on
each neuron that either adds or subtracts from the incoming
weights from other neurons. Training is the process by which
these weights and thresholds are adjusted to cause the neural
network to produce useful results. Calais Document Category: