 This procedure, known as training, corresponds to learning an unknown decision function based only on a set of input-output pairs formula_1 that form the training data (or training set).Nonetheless, in real world applications such as character recognition, a certain amount of information on the problem is usually known beforehand.The incorporation of this prior knowledge into the training is the key element that will allow an increase of performance in many applications.