Referenced Items are not available for this document.
The SEU sensitivity of an Artificial Neural Network intended to be used in space to detect “protonic whistlers” is investigated. We evaluate its behaviour in the presence of SEU-like faults for a hardware implementation, associating a general purpose microprocessor to a dedicated neural processor. Experimental results (SEU simulations and heavy ion ground tests) show the robustness of this implementation
Published in:
Nuclear Science, IEEE Transactions on
(Volume:43
,
Issue:
6
)
Date of Publication: Dec 1996
- Page(s):
- 2889 - 2896
- ISSN :
- 0018-9499
- INSPEC Accession Number:
- 5498453
- Digital Object Identifier :
- 10.1109/23.556882
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Dec 1996
- Sponsored by :
- IEEE Nuclear and Plasma Sciences Society
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