Robustness against S.E.U. of an artificial neural network space application
Journal Article
·
· IEEE Transactions on Nuclear Science
- IMAG, Grenoble (France). Lab. de Genie Informatique
- CNRS, Orleans (France). Lab. de Physique et Chimie d l`Environnement
- Centre National d`Etudes Spatiales, Toulouse (France)
The authors study the sensitivity of Artificial Neural Networks (ANN) to Single Event Upsets (SEU). A neural network designed to detect electronic and protonic whistlers has been implemented using a dedicated VLSI circuit: the LNeuro neural processor. Results of both SEU software simulations and heavy ion tests point out the fault tolerance properties of ANN hardware implementations.
- OSTI ID:
- 277740
- Report Number(s):
- CONF-9509107--
- Journal Information:
- IEEE Transactions on Nuclear Science, Journal Name: IEEE Transactions on Nuclear Science Journal Issue: 3Pt1 Vol. 43; ISSN 0018-9499; ISSN IETNAE
- Country of Publication:
- United States
- Language:
- English
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