DocumentCode
1319173
Title
SEU experiments on an Artificial Neural Network implemented by means of digital processors
Author
Velazco, R. ; Assoum, A. ; Cheynet, Ph. ; Olmos, M. ; Ecoffet, R.
Author_Institution
Lab. Logiciels Syst. Reseaux, IMAG, Grenoble, France
Volume
43
Issue
6
fYear
1996
fDate
12/1/1996 12:00:00 AM
Firstpage
2889
Lastpage
2896
Abstract
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
Keywords
ion beam effects; microprocessor chips; neural chips; space vehicle electronics; SEU simulation; artificial neural network; dedicated neural processor; digital processor; general purpose microprocessor; heavy ion ground test; protonic whistler detection; space hardware; Artificial neural networks; Biological system modeling; Character recognition; Fault tolerance; Hardware; Microprocessors; Neurons; Optical noise; Robustness; Very large scale integration;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.556882
Filename
556882
Link To Document