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SEU experiments on an Artificial Neural Network implemented by means of digital processors

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5 Author(s)
Velazco, R. ; Lab. Logiciels Syst. Reseaux, IMAG, Grenoble, France ; Assoum, A. ; Cheynet, Ph. ; Olmos, M.
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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

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