The realization of artificial neural networks in nonpositional value for automated control systems
Автор: Vasetsky Viktor V.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Статья в выпуске: 1 т.11, 2018 года.
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This article raises the problem of using nonpositional number systems, in particular the system of residual classes, which is a parallel system and provides a level parallelism execution of elementary operations in automated control systems.
Nonpositional number system, system of residual classes, artificial neuron, failover neurocomputer
Короткий адрес: https://sciup.org/146115281
IDR: 146115281 | DOI: 10.17516/1999-494X-0006
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