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)


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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Benoit H. Mulsant, et al., “A Connectionist Approach to the Diagnosis of Dementia”, in Proc. of 12th SCAMC, pages 245–249, 1988.Google Scholar
  2. [2]
    Jakubowicz, O., et al., “A Neural Network Model for Fault Diagnosis of Digital Circuits”, IJCNN, Vol. 2, pages 611–614, 1990, Washington D. C.Google Scholar
  3. [3]
    Peng, Y., and Reggia, J., “A Connectionist Model for Diagnostic Problem Solving”, IEEE Trans. On Systems, Man and Cybernetics, 19(2), pages 285–198, 1989.MathSciNetCrossRefGoogle Scholar
  4. [4]
    Goel, A. and Ramanujam, J., “A Neural Architecture for a Class of Abduction Problems”, IEEE Transactions on Systems Man and Cybernetics, 26(6), pages 854–860, 1996.CrossRefGoogle Scholar
  5. [5]
    Blockley, D.I., et al., “Measures of Uncertainty”, Civil Engineering Systems, 1, pages 3–9, 1988.Google Scholar
  6. [6]
    Dubois, D. and Prade, H., “A Discussion of Uncertainty Handling in Support Logic Programming”, Int. J. of Intelligent Systems, 5(5), pages 15–42, 1990.MATHGoogle Scholar
  7. [7]
    Pearl. J., Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann Publishers, Inc., San Mateo, California, 1988.Google Scholar
  8. [8]
    Charles Sanders Peirce, Collected Papers of Charles Sanders Peirce (1839–1914). Harvard University Press, Cambridge, MA, 1958.Google Scholar
  9. [9]
    Yue Xu, Chengqi Zhang, “A Neural Network Model for Monotonic Diagnostic Problem Solving”, accepted by the 2nd IEEE International Conference on Intelligent Processing Systems, Gold Coast, Australia, August 4–7, 1998.Google Scholar

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

Personalised recommendations