Analyzing the Impact of Memristor Variability on Crossbar Implementation of Regression Algorithms With Smart Weight Update Pulsing Techniques
Author:
Affiliation:
1. Department of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/8919/9763566/9696210-aam.pdf
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1. Reliability Enhancement of Inverter-Based Memristor Crossbar Neural Networks Using Mathematical Analysis of Circuit Non-Idealities
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