N-tuple or ram based neural network classification system...

G - Physics – 06 – N

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G06N 3/08 (2006.01) G06F 15/18 (2006.01) G06N 3/04 (2006.01)

Patent

CA 2335060

The invention relates to n-tuple or RAM based neural network classification methods and systems and, more particularly, to n-tuple or RAM based classification systems where the decision criteria applied to obtain the output sources and compare these output sources to obtain a classification are determined during a training process. Accordingly, the invention relates to a system and a method of training a computer classification system which can be defined by a network comprising a number of n-tuples or Look Up Tables (LUTs), with each n-tuple or LUT comprising a number of rows corresponding to at least a subset of possible classes and comprising columns being addressed by signals or elements of sampled training input data examples.

L'invention concerne des systèmes et procédés de classification de réseaux neuronaux à n-tuples ou RAM, et notamment des systèmes de classification à n-tuples où RAM, dans lesquels les critères de décision appliqués pour obtenir des sources de sortie et comparer ces sources, afin de parvenir à une classification, sont déterminés lors d'un processus d'apprentissage. En conséquence, l'invention concerne un système et un procédé destinés à l'apprentissage d'un système de classification informatique, lequel peut être déterminé par un réseau comprenant un certain nombre de n-tuples ou tables de consultation, lesquels comportent chacun un certain nombre de rangées correspondant à au moins un sous-ensemble de classes possibles, ainsi que des colonnes destinées à être adressées par des signaux ou éléments d'exemples de données d'entrée d'apprentissage échantillonnés.

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