Prediction limit estimation for neural network models

  • Authors:
  • R. B. Chinman;J. Ding

  • Affiliations:
  • Ind. & Manuf. Eng. Dept., North Dakota State Univ., Fargo, ND;-

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 1998

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Abstract

A novel method for estimation of prediction limits for global and local approximating neural networks is presented. The method partitions the input space using self-organizing feature maps to introduce the concept of local neighborhoods, and calculates limits that indicate the extent to which one can rely on predictions for making future decisions