Publication Details

Detecting hard synapses faults in artificial neural networks

KRČMA, M.; KOTÁSEK, Z.; LOJDA, J. Detecting hard synapses faults in artificial neural networks. In 20th IEEE Latin American Test Symposium (LATS 2019). Santiago de Chile: IEEE Computer Society, 2019. p. 1-6. ISBN: 978-1-7281-1756-0.
Czech title
Detekce trvalých poruch v synapsích neuronových sítí
Type
conference paper
Language
English
Authors
Krčma Martin, Ing., Ph.D. (UFYZ)
Kotásek Zdeněk, doc. Ing., CSc.
Lojda Jakub, Ing., Ph.D. (DCSY)
Keywords

artificial neural networks, hard faults, faults detection, fault tolerance

Abstract

This paper presents the concepts of detecting hard faults in artificial neural network synapses using the modification of the neural network settings. The core of this work is based on weights values modification and inserting the chosen testing data when comparing the neural network output to the known valid results. The paper also discuss the problem of neural network output saturation and provide experiments on influence of the neural network settings to the problem in this regard.

Published
2019
Pages
1–6
Proceedings
20th IEEE Latin American Test Symposium (LATS 2019)
ISBN
978-1-7281-1756-0
Publisher
IEEE Computer Society
Place
Santiago de Chile
DOI
10.1109/LATW.2019.8704637
UT WoS
000469850000035
EID Scopus
2-s2.0-85065958948
BibTeX 
@inproceedings{BUT159964,
  author="Martin {Krčma} and Zdeněk {Kotásek} and Jakub {Lojda}",
  title="Detecting hard synapses faults in artificial neural networks",
  booktitle="20th IEEE Latin American Test Symposium (LATS 2019)",
  year="2019",
  pages="1--6",
  publisher="IEEE Computer Society",
  address="Santiago de Chile",
  doi="10.1109/LATW.2019.8704637",
  isbn="978-1-7281-1756-0",
  url="https://www.fit.vut.cz/research/publication/11876/"
}
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