Hybrid Neural-global Minimization Method of Logical Rule Extraction

Abstract

Methodologyof extraction of optimal sets of logical rules using neural networks and global minimization procedures has been developed. Initial rules are extracted using density estimation neural networks with rectangular functions or multi-layered perceptron (MLP) networks trained with constrained backpropagation algorithm, transforming MLPs into simpler… (More)
DOI: 10.20965/jaciii.1999.p0348

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@article{Duch1999HybridNM, title={Hybrid Neural-global Minimization Method of Logical Rule Extraction}, author={Wlodzislaw Duch and Rafal Adamczak and Krzysztof Grabczewski and Grzegorz Zal}, journal={JACIII}, year={1999}, volume={3}, pages={348-356} }