An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods

An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods

Determining the sign of a number is not as simple as addition and multiplication. When using the traditional notation of a number in binary form with two's complement code, it allows you to store the sign of the number and process it. However, when representing a number in modular form, or in a...

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Библиографические подробности
Главные авторы:	Shiriaev, E. M., Ширяев, Е. М., Lutsenko, V. V., Луценко, В. В., Babenko, M. G., Бабенко, М. Г.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2024
Темы:	Homomorphic encryption Sign function Residue number system (RNS) Neural networks
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29356
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

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