The application of certainty factors to neural computing for rule discovery

@article{Fu2000TheAO,
  title={The application of certainty factors to neural computing for rule discovery},
  author={Limin Fu and Edward H. Shortliffe},
  journal={IEEE transactions on neural networks},
  year={2000},
  volume={11 3},
  pages={
          647-57
        }
}
Discovery of domain principles has been a major long-term goal for scientists. This paper presents a new system named DOMRUL for learning such principles in the form of rules. A distinctive feature of the system is the integration of the certainty factor (CF) model and a neural network. These two elements complement each other. The CF model offers the neural network better semantics and generalization advantage, and the neural network overcomes possible limitations such as inaccuracies and… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 16 REFERENCES

A model of inexact reasoning in medicine

  • B. G. Buchanan
  • Computer
  • 1996

Janikow, “A knowledge-intensive genetic algorithm for supervised learning,”Machine

  • C Z.
  • Learning, vol
  • 1993
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