Weight Update Generation Circuit Utilizing Phase Noise of Integrated Complementary Metal–Oxide–Semiconductor Ring Oscillator for Memristor Crossbar Array Neural Network‐Based Stochastic Learning-Reference-Cited by-同舟云学术

Weight Update Generation Circuit Utilizing Phase Noise of Integrated Complementary Metal–Oxide–Semiconductor Ring Oscillator for Memristor Crossbar Array Neural Network‐Based Stochastic Learning

Published:2020-03-27 Issue:5 Volume:2 Page:2000011
ISSN:2640-4567
Container-title:Advanced Intelligent Systems
language:en
Short-container-title:Advanced Intelligent Systems

Author:

Bae Woorham¹²^ORCID,Yoon Kyung Jean³^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer SciencesUniversity of California, Berkeley Berkeley CA 94720 USA

2. Circuits DepartmentAyar Labs Santa Clara CA 95054 USA

3. Non-Volatile Memory Solutions Group (NSG)Intel Corporation Santa Clara CA 95054 USA

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202000011

Reference23 articles.

1. M.Horowitz inIEEE Int. Solid-State Circuits Conf. Digest of Technical Papers IEEE San Francisco CA2014 p.10.

2. K.Kim inIEEE Int. Solid-State Circuits Conf. Digest of Technical Papers IEEE San Francisco CA2015 p.8.

3. Pattern classification by memristive crossbar circuits using ex situ and in situ training

4. Fully memristive neural networks for pattern classification with unsupervised learning

5. Memristors for Energy-Efficient New Computing Paradigms

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