Switched-current type of hamming neural network system for patte

Image analysis – Learning systems – Neural networks

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382209, 706 31, G06K 962

Patent

active

059996439

ABSTRACT:
Disclosed is a two-layer switched-current type of a Hamming neural network system. This Hamming network system includes a matching rate computation circuit for modules on a first layer used to compute a matching rate between a to-be-identified pattern and each one of a plurality of standard patterns, a matching rate comparison circuit on a second layer for ranking an order of the matching rates including a switched-current type order-ranking circuit for receiving switched-current signals, finding a maximum value and outputting a time-division order-ranking output and an identification-rejection judgment circuit for performing an absolute and a relative judgment, and a pulse-generating circuit for generating sequential clock pulses, in which the circuit construction of the Hamming network is simple and flexible due to a modular design with extendible circuit dimensions, and a high precision, improved performance and enhanced reliability of the network system is achieved. In addition, the Hamming network can be easily integrated in a mixed analog/digital form due to a direct usage of a standard complementary metal-oxide-semiconductor device by using a switched-current technique.

REFERENCES:
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patent: 5751286 (1998-05-01), Barber et al.
patent: 5799098 (1998-08-01), Ort et al.
patent: 5835633 (1998-11-01), Fujisaki et al.

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