Literal and ProRulext: algorithms for rule extraction of ANNs

Abstract

Artificial neural networks (ANN) present excellent capacity for generalization. Besides, they are applied to the most diverse human knowledge domains. However, since they represent knowledge in its topology, weight values and bias, explaining clearly how an ANN has obtained its outputs is not a trivial task for human experts. Usually such deficiency can be… (More)
DOI: 10.1109/ICHIS.2005.69

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