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