The links between these layers contain the values of the the mean vectors. The output layer and the hidden layer are fully connected. The output pattern contains information on which class the input pattern belongs to. The lowest class must have the name 0. If these conditions are violated, an error occurs.
Figure shows the topology of a net.
In the bias of every class unit its class name is stored. It can be retrieved by clicking on a class unit with right mouse button. In the first implementation of DLVQ the input patterns were automatically normalized by the algorithm. This step was eliminated, since is produced undesired behavior in some cases.