S.E.U. experiments on an artificial neural network implemented by means of digital processors
Journal Article
·
· IEEE Transactions on Nuclear Science
- LSR/IMAG, Grenoble (France)
- Centre National d`Etudes Spatiales, Toulouse (France)
The SEU sensitivity of an Artificial Neural Network intended to be used in space to detect protonic whistlers is investigated. The authors evaluate its behavior 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.
- OSTI ID:
- 445455
- Report Number(s):
- CONF-960773--
- Journal Information:
- IEEE Transactions on Nuclear Science, Journal Name: IEEE Transactions on Nuclear Science Journal Issue: 6Pt1 Vol. 43; ISSN 0018-9499; ISSN IETNAE
- Country of Publication:
- United States
- Language:
- English
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