Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach

@article{Etchells2006OrthogonalSR,
  title={Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach},
  author={Terence A. Etchells and Paulo J. G. Lisboa},
  journal={IEEE Transactions on Neural Networks},
  year={2006},
  volume={17},
  pages={374-384}
}
There is much interest in rule extraction from neural networks and a plethora of different methods have been proposed for this purpose. We discuss the merits of pedagogical and decompositional approaches to rule extraction from trained neural networks, and show that some currently used methods for binary data comply with a theoretical formalism for extraction of Boolean rules from continuously valued logic. This formalism is extended into a generic methodology for rule extraction from smooth… CONTINUE READING

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