Study of Weight Quantization Associations over a Weight Range for Application in Memristor Devices

The development of hardware-based cognitive computing systems critically hinges upon the integration of memristor devices capable of versatile weight expression across a spectrum of resistance levels while preserving consistent electrical properties. This investigation aims to explore the practical...

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Bibliographic Details

Published in:	Micromachines
Main Authors:	Yerim Kim, Hee Yeon Noh, Gyogwon Koo, Hyunki Lee, Sanghan Lee, Rock-Hyun Choi, Shinbuhm Lee, Myoung-Jae Lee, Hyeon-Jun Lee
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Subjects:	memristor neural network weight quantization recognition
Online Access:	https://www.mdpi.com/2072-666X/15/10/1258