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  4. Fault Tolerance of Feed-Forward Artificial Neural Network Architectures Targeting Nano-Scale Implementations
 
conference paper

Fault Tolerance of Feed-Forward Artificial Neural Network Architectures Targeting Nano-Scale Implementations

Vural, M.
•
Ozgur, A.
•
Schmid, A.  
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2007
Proceedings of the IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
  • Details
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Type
conference paper
DOI
10.1109/MWSCAS.2007.4488693
Web of Science ID

WOS:000257110900166

Author(s)
Vural, M.
Ozgur, A.
Schmid, A.  
Leblebici, Y.  
Date Issued

2007

Published in
Proceedings of the IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
Start page

779

End page

782

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSM  
Event nameEvent placeEvent date
IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

Montréal, Quebec, Canada

August 5-8

Available on Infoscience
January 8, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/15982
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