Fault and Error Tolerance in Neural Networks: A Review
Beyond energy, the growing number of defects in physical substrates is becoming another major constraint that affects the design of computing devices and systems. As the underlying semiconductor technologies are getting less and less reliable, the probability that some components of computing device...
Main Authors: | Cesar Torres-Huitzil, Bernard Girau |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8013784/ |
Similar Items
-
A Single-Version Algorithmic Approach to Fault Tolerant Computing Using Static Redundancy
by: Goutam Kumar Saha
Published: (2006-12-01) -
A Neural Control Architecture for Joint-Drift-Free and Fault-Tolerant Redundant Robot Manipulators
by: Nan Zhong, et al.
Published: (2018-01-01) -
A Systematic Approach to Sensitivity Analysis of Fault Tolerant Systems in NMR Architecture
by: Kourosh Aslansefat, et al.
Published: (2015-01-01) -
Detection of Single and Dual Incipient Process Faults Using an Improved Artificial Neural Network
by: Mahmoud Reza Pishvaie, et al.
Published: (2005-09-01) -
Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks
by: Lauri Vihman, et al.
Published: (2021-05-01)