Rule-extraction by backpropagation of polyhedra
F Maire - Neural networks, 1999 - Elsevier
Neural networks, 1999•Elsevier
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.
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.
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.
Elsevier
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