Title
Reliability Enhancement of Inverter-Based Memristor Crossbar Neural Networks Using Mathematical Analysis of Circuit Non-Idealities
Abstract
In this paper, the sensitivity of the neural network (NN) outputs to device parameter uncertainties (non-idealities) in inverter-based memristor (IM) crossbar neuromorphic circuits is mathematically modeled and verified using exhaustive circuit and system-level simulations. The NN sensitivity is obtained by modeling the sensitivity of the IM neuron output to the n...
Year
DOI
Venue
2021
10.1109/TCSI.2021.3105043
IEEE Transactions on Circuits and Systems I: Regular Papers
Keywords
DocType
Volume
Inverters,Neurons,Artificial neural networks,Memristors,Sensitivity,Training,Integrated circuit modeling
Journal
68
Issue
ISSN
Citations 
10
1549-8328
1
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Shaghayegh Vahdat1143.10
Mehdi Kamal218930.41
Ali Afzali-Kusha38111.95
Massoud Pedram478011211.32