Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Bootstrap Model Selection Criterion for Determining the Number of Hidden Units in Neural Network Model

  • Hwang, Changha (Dept. of Statistical Information, Catholic University of Taegu-Hyosung) ;
  • Kim, Daehak (Dept. of Statistical Information, Catholic University of Taegu-Hyosung)
  • Published : 1997.12.01
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Abstract

Statistical relations between a system and empirical distribution are studied in terms of the concept of Akaike's Information Criterion. From this consideration we derive a bootstrap criterion for determining the optimal number of hidden units in nerual networks.

Keywords

References

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