Title
Learning in Memristive Neural Network Architectures using Analog Backpropagation Circuits.
Abstract
The on-chip implementation of learning algorithms would speed up the training of neural networks in crossbar arrays. The circuit level design and implementation of a back-propagation algorithm using gradient descent operation for neural network architectures is an open problem. In this paper, we propose analog backpropagation learning circuits for various memristive learning architectures, such as...
Year
DOI
Venue
2019
10.1109/TCSI.2018.2866510
IEEE Transactions on Circuits and Systems I: Regular Papers
Keywords
DocType
Volume
Computer architecture,Backpropagation,Memristors,Hardware,Backpropagation algorithms,Biological neural networks
Journal
66
Issue
ISSN
Citations 
2
1549-8328
8
PageRank 
References 
Authors
0.50
29
3
Name
Order
Citations
PageRank
Olga Krestinskaya16111.86
Khaled N. Salama234546.11
Alex Pappachen James333539.64