1995
@article{ADT1995,
vgclass = {refpap},
vgproject = {nn},
author = {R. Andrews and J. Diederich and A. B. Tickle},
title = {Survey and critique of techniques for extracting rules
from trained artificial neural networks},
journal = {Knowledge Based Systems (UK)},
volume = {8},
number = {6},
pages = {378--389},
year = {1995},
abstract = {It is becoming increasingly apparent that without some
form of explanation capability, the full potential of trained
Artificial Neural Networks (ANNs) may not be realised. This survey
gives an overview of techniques developed to redress this situation.
Specifically the survey focuses on mechanisms, procedures, and
algorithms designed to insert knowledge into ANNs (knowledge
initialisation), extract rules from trained ANNs (rule extraction), and
utilise ANNs to refine existing rule bases (rule refinement). The
survey also introduces a new taxonomy for classifying the various
techniques, discusses their modus operandi, and delineates criteria for
evaluating their efficacy.},
}