Knowledge extraction using artificial neural networks: application to radar target identification
Identifieur interne : 000798 ( PascalFrancis/Checkpoint ); précédent : 000797; suivant : 000799Knowledge extraction using artificial neural networks: application to radar target identification
Auteurs : J.-F. Remm [France] ; F. Alexandre [France]Source :
- Signal processing [ 0165-1684 ] ; 2002.
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- Pascal (Inist)
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Abstract
Artificial neural networks are efficient for performing signal processing but are not able to explain their decision nor to extract knowledge from data. We propose here a way to extract rules and hints from the hidden layers of a multilayered perceptron. The network is first pruned and then the progressive use of a simpler transfer function can allow such knowledge extraction. This method has been successfully applied to radar signal identification.
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