Support vector machines implementation over integers modulo-M and Residue Number System

Autor:	Sergio Andrés Arenas-Hoyos, Álvaro Bernal-Noreña
Jazyk:	English<br />Spanish; Castilian
Rok vydání:	2023
Předmět:	modular arithmetic pattern recognition Residue Number System (RNS) Support Vector Machines (SVN) digital signal processing radial basis function Technology Mining engineering. Metallurgy TN1-997
Zdroj:	Dyna, Vol 90, Iss 226 (2023)
Druh dokumentu:	article
ISSN:	0012-7353 2346-2183
DOI:	10.15446/dyna.v90n226.107112
Popis:	In low-power hardware implementations for classification algorithms, it is often essential to use physical resources efficiently. In this sense, the use of modulo-M integer operations instead of floating-point arithmetic, can lead to better performance, especially when M represents the dynamic range of an arithmetic block of the Residue Number System (RNS) [1,2]. Following this premise, this work is aiming to provide a methodology for implementing a classifier, specifically a Support Vector Machine (SVM) [3], using modulo-M integers and proposing a method for the use of Residue Number System.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/39686b0a34824a3598630323bc27af05 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF