| Abstract |
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Abstract: A new method for pre-processing input to neural network based on rough sets analysis was proposed. The method was used to construct two engines of rough set within the frame of neural expert system. As an example, a neural expert system for medical diagnosis was built using the two engines. The resulting model was evaluated by a fivefold cross-validation technique. The obtained result shows consistency of the given data and the classification given by experts.
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 Additional Information
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Index Terms- Expert Systems, Neural Networks, Rough Sets, Inference Systems, Data Preprocessing.
Citation:
Moawia Elfaki Yahia, Ramlan Mahmod,
"Neural Expert System with Two Engines of Rough Set,"
aiccsa,
p. 0052,
ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'01),
2001
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