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Knowledge extraction using artificial neural networks: Application to radar target identification

Jean-Francois Remm 1 Frédéric Alexandre 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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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https://hal.inria.fr/inria-00100719
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Submitted on : Tuesday, September 26, 2006 - 2:49:58 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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Jean-Francois Remm, Frédéric Alexandre. Knowledge extraction using artificial neural networks: Application to radar target identification. Signal Processing, Elsevier, 2002, 82 (1), pp.117-120. ⟨inria-00100719⟩

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