• DocumentCode
    3598785
  • Title

    Fault-tolerant MLP networks for improved reliability and safety

  • Author

    Rughooputh, Harry C S ; Backory, Jay K.

  • Author_Institution
    Fac. of Eng., Mauritius Univ., Reduit, Mauritius
  • Volume
    3
  • fYear
    1995
  • Firstpage
    1299
  • Abstract
    Presents a modified multi-layer perceptron (MLP) network called the modular redundant MLP (MR-MLP) network that shows improved reliability and safety. The standard MLP is first augmented by duplicating the hidden units and then the output module is duplicated m times to give an m MR-MLP. The outputs of the MR-MLP network are processed by voting circuits that produce the final outputs of the system together with a flag that indicates the validity of the output vector
  • Keywords
    multilayer perceptrons; redundancy; reliability; safety; fault-tolerant MLP networks; modular redundant MLP network; reliability; safety; voting circuits; Artificial neural networks; Biological neural networks; Circuit faults; Fault tolerance; Multilayer perceptrons; Redundancy; Reliability engineering; Robustness; Safety; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.487344
  • Filename
    487344