title: Rule-extraction by backpropagation of polyhedra.
abstract: 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.
authors.affiliation: Machine Learning Research Center, School of Computing Science, Queensland University of Technology, P.O. Box 2434, Brisbane, Australia
authors.forename: F
authors.initials: F
authors.lastname: Maire