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

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

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C706S015000, C706S020000

Reexamination Certificate

active

06999950

ABSTRACT:
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.

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EP 0 935 212 A1 Intellix A/S.
WO 92/00572 University College London.
Jorgensen et al, IEEE Transactions on Pattern Analysis & Machine, vol. 10, No. 4, Apr. 1999.
Jorgensen, International Journal of Neural Systems, vol. 8, No. 1, p. 17-p. 25 Feb. 1997.

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