Referenced Items are not available for this document.
A simple fault-tolerant digital artificial neuron is introduced. Two digital implementations based on two different adders are examined. Reliability, fault coverage, and hardware redundancy analyses are carried out to characterize the proposed fault-tolerant digital neural module. These analyses reveal that, for a 114% increase in hardware, a 92.07% fault detection coverage and a 21.15% fault recovery coverage are attained for a four-input neural module.<
Published in:
Design & Test of Computers, IEEE
(Volume:10
,
Issue:
4
)
Date of Publication: Dec. 1993
- Page(s):
- 76 - 82
- ISSN :
- 0740-7475
- INSPEC Accession Number:
- 4644445
- Digital Object Identifier :
- 10.1109/54.245965
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Dec. 1993
- Sponsored by :
- IEEE Council on Electronic Design and Automation
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