Pattern recognition method using a network and system therefor

Image analysis – Learning systems – Trainable classifiers or pattern recognizers

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382181, 382155, 382156, G06K 962

Patent

active

058321080

ABSTRACT:
M (M being an integer of two or more), and the numbers or frequencies of data for the correct/incorrect patterns contained in the i-th interval In this case, if this network provides an output contained in the i-th interval to unknown pattern data, this pattern is stored as a likelihood conversion table so that the pattern outputs likelihood P1i, which is a category, in an equation P1i=(.mu.1i+1)/(.mu.1i+.mu.0i+2). Then, when a neural network, the likelihood convertor receives it as an input and outputs P1i which is so to speak normalized likelihood.

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