• DocumentCode
    285121
  • Title

    Reconfigurable fault tolerant neural network

  • Author

    Chen, Chung-Hsing ; Chu, Lon-Chan ; Saab, Daniel G.

  • Author_Institution
    Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
  • Volume
    2
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    547
  • Abstract
    A reconfigurable fault-tolerant multilayer feedforward neural network is presented. It addresses both fault detection and reconfiguration of a neural network in a unified manner. As a result, a neural network with low area overhead and high reliability is achieved. A concurrent error detection scheme on neural networks which consumes low hardware overhead and negligible time overhead is described. It is capable of detecting a single fault in each neuron of the network. The reconfiguration of this neural network is addressed. It features low complexity of interconnection and low hardware overhead
  • Keywords
    error correction; fault tolerant computing; feedforward neural nets; reconfigurable architectures; concurrent error detection; fault detection; low area overhead; reconfigurable fault-tolerant multilayer feedforward neural network; reliability; Circuit faults; Electrical fault detection; Fault detection; Fault tolerance; Feedforward neural networks; Multi-layer neural network; Neural network hardware; Neural networks; Neurons; Redundancy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.226931
  • Filename
    226931