• DocumentCode
    975215
  • Title

    A fault-tolerant digital artificial neuron

  • Author

    Sibai, Fadi N.

  • Author_Institution
    Dept. of Electr. Eng., Akron Univ., OH, USA
  • Volume
    10
  • Issue
    4
  • fYear
    1993
  • Firstpage
    76
  • Lastpage
    82
  • Abstract
    A simple fault-tolerant digital artificial neuron is introduced. Two digital implementations based on two different adders are examined. Reliability, fault coverage, and hardware redundancy analyses are carried out to characterize the proposed fault-tolerant digital neural module. These analyses reveal that, for a 114% increase in hardware, a 92.07% fault detection coverage and a 21.15% fault recovery coverage are attained for a four-input neural module.<>
  • Keywords
    adders; fault tolerant computing; neural nets; redundancy; reliability; adders; digital artificial neuron; fault coverage; fault recovery; fault-tolerant; hardware redundancy; reliability; Aging; Fault location; Fault tolerance; Hardware; Joining processes; Mechanical factors; Neural networks; Neurons; Process design; Redundancy;
  • fLanguage
    English
  • Journal_Title
    Design & Test of Computers, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7475
  • Type

    jour

  • DOI
    10.1109/54.245965
  • Filename
    245965
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=975215