Rule-extraction by backpropagation of polyhedra.

Maire, F · Neural Netw · 1999

basic_science · Level V

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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.