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Abstract: The extraction of symbolic knowledge from trained neural networks and the direct encoding of (partial) knowledge into networks prior to training are important issues. They allow the exchange of information between symbolic and connectionist knowledge representations. The focus of this paper is on the quality of the rules that are extracted from recurrent neural networks. Discrete-time recurrent neural networks can be trained to correctly classify strings of a regular language. Rules defining... (Update)
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BibTeX entry: (Update)
C.W. Omlin and C.L. Giles. Extraction of rules from discrete-time recurrent neural networks. Neural Networks, 9(1):41--51, 1996. http://citeseer.ist.psu.edu/omlin96extraction.html More
@techreport{ omlin92extraction,
author = "C.W. Omlin and C. Lee Giles",
title = "Extraction of Rules from Discrete-Time Recurrent Neural Networks",
number = "TR 92-23",
month = "August",
address = "Computer Science, Troy, N.Y.",
year = "1992",
url = "citeseer.ist.psu.edu/omlin96extraction.html" }
Citations (may not include all citations):1056 Introduction to the Theory of Neural Computation (context) - Hertz, Krogh et al. - 1991 ACM
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141 The Induction of Dynamical Recognizers - Pollack - 1991 ACM DBLP
132 Learning Long-Term Dependencies with Gradient Descent is Dif.. - Bengio, Simard et al. - 1994
127 Complexity of Automaton Identification from Given Data (context) - Gold - 1978
108 Induction of Finite-State Languages Using Second-Order Recur.. (context) - Watrous, Kuhn - 1992
105 the Computational Power of Neural Nets - Siegelmann, Sontag - 1992
31 Rule Generation from Neural Networks (context) - Fu - 1994
29 A Unified Gradient-Descent/Clustering Architecture for Finit.. - Das, Mozer - 1994 DBLP
28 Representation of Finite State Automata in Recurrent Radial .. - Frasconi, Gori et al. - 1995 ACM DBLP
26 Training Second-Order Recurrent Neural Networks using Hints - Omlin, Giles - 1992 ACM DBLP
26 Inserting Rules into Recurrent Neural Networks (context) - Giles, Omlin - 1992
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19 Higher Order Recurrent Networks & Grammatical Inference (context) - Giles, Sun et al. - 1990
17 Finite State Automata and Simple Recurrent Recurrent Network.. (context) - Cleeremans, Servan-Schreiber et al. - 1989
9 Constructive Induction using KnowledgeBased Neural Networks (context) - Towell, Craven et al. - 1990
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1 Neural Networks for Signal Processing II (context) - Fallside, Sorenson - 1992
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