Rule-extraction by backpropagation of polyhedra.
The core problem of rule-extraction from feed-forward networks is an inversion problem. In this article, we solve this inversion problem by backpropagating unions of polyhedra. We obtain as a by-product a new rule-extraction technique for which the fidelity of the extracted rules can be made arbitrarily high.
Maire
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Machine Learning Research Center, School of Computing Science, Queensland University of Technology, P.O. Box 2434, Brisbane, Australia