Knowledge acquisition for aero-engine wear fault diagnosis based on rule extraction from neural networks

@inproceedings{Libo2008KnowledgeAF,
  title={Knowledge acquisition for aero-engine wear fault diagnosis based on rule extraction from neural networks},
  author={Chen Li-bo},
  year={2008}
}
In view of the problem that it is difficult to understand the knowledge and diagnosis process in intelligent and expert systems based on neural network,a new rule extraction method from neural network based on the functional point of view was studied,and the flow and the key algorithms of the new method were introduced.The UCI(University of California Irvine)machine learning data were used to analyze and verify the rule extraction method.Finally,this method was applied to aero-engine wear… CONTINUE READING

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