Effect of Program Error in Memristive Neural Network With Weight Quantization-Reference-Cited by-同舟云学术

Effect of Program Error in Memristive Neural Network With Weight Quantization

Published:2022-06 Issue:6 Volume:69 Page:3151-3157
ISSN:0018-9383
Container-title:IEEE Transactions on Electron Devices
language:
Short-container-title:IEEE Trans. Electron Devices

Author:

Kim Tae-Hyeon¹^ORCID,Kim Sungjoon¹,Hong Kyungho¹^ORCID,Park Jinwoo²,Youn Sangwook²,Lee Jong-Ho¹^ORCID,Park Byung-Gook¹^ORCID,Kim Hyungjin²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Seoul National University, Inter-University Semiconductor Research Center (ISRC), Seoul, South Korea

2. Department of Electronic Engineering, Inha University, Incheon, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx7/16/9780469/09765640.pdf?arnumber=9765640

Reference40 articles.

1. High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

2. FrostNet: Towards quantization-aware network architecture search;kim;arXiv 2006 09679,2020

3. Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network Based on Analog Resistive Synapse

4. Stuck-at Fault Tolerance in RRAM Computing Systems

5. Impact of Non-Ideal Characteristics of Resistive Synaptic Devices on Implementing Convolutional Neural Networks

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