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A neural network diagnosis model without disorder independence assumption

  • Yue Xu
  • Chengqi Zhang
Application of Neural Network
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1531)

Abstract

Generally, the disorders in a neural network diagnosis model are assumed independent each other. In this paper, we propose a neural network model for diagnostic problem solving where the disorder independence assumption is no longer necessary. Firstly, we characterize the diagnostic tasks and the causal network which is used to represent the diagnostic problem, then we describe the neural network diagnosis model, finally, some experiment results will be given.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Yue Xu
    • 1
  • Chengqi Zhang
    • 1
  1. 1.School of Mathematical and Computer SciencesThe University of New EnglandArmidaleAustralia

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