Paper Info
Title
Memristor-Based Edge Computing of Blaze Block for Image Recognition
Abstract
In this article, a novel edge computing system is proposed for image recognition via memristor-based blaze block circuit, which includes a memristive convolutional neural network (MCNN) layer, two single-memristive blaze blocks (SMBBs), four double-memristive blaze blocks (DMBBs), a global Avg-pooling (GAP) layer, and a memristive full connected (MFC) layer. SMBBs and DMBBs mainly utilize the dept...
Year
DOI
Venue
2022
10.1109/TNNLS.2020.3045029
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Convolution,Memristors,Edge computing,Power demand,Image recognition,Computer architecture,Neuromorphic engineering
Journal
33
Issue
ISSN
Citations 
5
2162-237X
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Huanhuan Ran111.03
Shiping Wen2123172.34
Q. Li321.70
Yin Yang4100352.10
Kaibo Shi521325.47
Yuming Feng6418.40
Pan Zhou738262.71
Tingwen Huang85684310.24