NEURON NETWORK FOR DETECTION OF ERRORS IN SYMMETRICAL SYSTEM OF RESIDUAL CLASSES

摘要

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