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Abstract: Neural networks, despite their empirically-proven abilities, have been little used for the refinement of existing knowledge because this task requires a three-step process. First, knowledge in some form must be inserted into a neural network. Second, the network must be refined. Third, knowledge must be extracted from the network. We have previously described a method for the first step of this process. Standard neural learning techniques can accomplish the second step. In this paper, we... (Update)
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BibTeX entry: (Update)
G. Towell and J. Shavlik. The extraction of refined rules from knowledge based neural networks. In Machine Learning, volume 131, pages 71--101, 1993. http://citeseer.ist.psu.edu/towell93extraction.html More
@article{ towell93extraction,
author = "Geoffrey G. Towell and Jude W. Shavlik",
title = "The Extraction of Refined Rules from Knowledge-Based Neural Networks",
journal = "Machine Learning",
volume = "13",
number = "1",
pages = "71--101",
year = "1993",
url = "citeseer.ist.psu.edu/towell93extraction.html" }
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