NEURON NETWORK FOR DETECTION OF ERRORS IN SYMMETRICAL SYSTEM OF RESIDUAL CLASSES Russian patent published in 2009 - IPC G06F11/07 G06N3/06 H03M7/18 

Abstract RU 2374678 C2

FIELD: information technologies.

SUBSTANCE: invention may be used for building of modular neural computers, which function in symmetrical system of residual classes. Stated neuron network comprises unit of neuron network of end ring of senior coefficient generation for generalised positional system of numeration, unit of polarity shift, unit of error detection, buses "with errors" and "without errors".

EFFECT: reduced hardware complexity.

3 dwg

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RU 2 374 678 C2

Authors

Chervjakov Nikolaj Ivanovich

Lavrinenko Irina Nikolaevna

Lavrinenko Sergej Viktorovich

Lavrinenko Anton Viktorovich

Golovko Aleksandr Nikolaevich

Dates

2009-11-27Published

2007-10-29Filed