Extracting regression rules from neural networks

@article{Saito2002ExtractingRR,
  title={Extracting regression rules from neural networks},
  author={Kazumi Saito and Ryohei Nakano},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2002},
  volume={15 10},
  pages={1279-88}
}
This paper proposes a new framework and method for extracting regression rules from neural networks trained with multivariate data containing both nominal and numeric variables. Each regression rule is expressed as a pair of a logical formula on the conditional part over nominal variables and a polynomial equation on the action part over numeric variables. The proposed extraction method first generates one such regression rule for each training sample, then utilizes the kappa-means algorithm to… CONTINUE READING
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