Fitting Densities and Hazard Functions with Neural Networks

  • Colin Reeves
  • Charles Johnston
Conference paper


In this paper, we show that Artificial neural networks (ANNs)—in particular, the Multi-Layer Perceptron (MLP)—can be used to estimate probability densities and hazard functions in survival analysis. An interpretation of the mathematical function fitted is given, and the work is illustrated with some experimental results.


Mean Square Error Hazard Function Single Hide Layer Logistic Density Clarke Level 
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    N.L. Johnson S. Kotz N. Balakrishnan (1995) Continuous Univariate Distributions, Vol.II, Wiley, Chichester.Google Scholar
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    B.S. Everitt D.J. Hand (1981) Finite Mixture Distributions, Chapman and Hall, London.CrossRefMATHGoogle Scholar

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Colin Reeves
  • Charles Johnston
    • 1
  1. 1.School of Mathematical and Information SciencesCoventry UniversityUK

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