Method and circuits to virtually increase the number of...

Data processing: artificial intelligence – Neural network – Structure

Reexamination Certificate

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C706S042000, C706S018000, C706S025000, C706S026000, C706S027000

Reexamination Certificate

active

10137969

ABSTRACT:
An improved Artificial Neural Network (ANN) is disclosed that comprises a conventional ANN, a database block, and a compare and update circuit. The conventional ANN is formed by a plurality of neurons, each neuron having a prototype memory dedicated to store a prototype and a distance evaluator to evaluate the distance between the input pattern presented to the ANN and the prototype stored therein. The database block has: all the prototypes arranged in slices, each slice being capable to store up to a maximum number of prototypes; the input patterns or queries to be presented to the ANN; and the distances resulting of the evaluation performed during the recognition/classification phase. The compare and update circuit compares the distance with the distance previously found for the same input pattern updates or not the distance previously stored.

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‘Description and practical uses of IBM ZISC036’: David, 1999, SPIE, vol. 3728, 0277-786X/99, 198-211.

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