Automatic Recurrent ANN Rule Extraction with Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{dorado:2002:IJCNN,
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author = "Julian Dorado and Juan R. Rabunal and
Daniel Rivero and Antonino Santos and Alejandro Pazos",
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title = "Automatic Recurrent ANN Rule Extraction with Genetic
Programming",
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booktitle = "Proceedings of the 2002 International Joint Conference
on Neural Networks IJCNN'02",
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pages = "1552--1557",
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year = "2002",
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month = "12-17 " # may,
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address = "Hilton Hawaiian Village Hotel, Honolulu, Hawaii",
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publisher = "IEEE Press",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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organisation = "IEEE",
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ISBN = "0-7803-7278-6",
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keywords = "genetic algorithms, genetic programming, artificial
neural nets, automatic recurrent ANN rule extraction,
rule-exploration technique, rule-extraction system,
rule-extraction techniques, knowledge acquisition,
knowledge based systems, neural nets",
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DOI = "doi:10.1109/IJCNN.2002.1007748",
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abstract = "Various rule-extraction techniques using ANNs have
been used so far, most of them being applied on
multi-layer ANNs, since they are more easily handled.
In many cases, extraction methods focusing on different
types of networks and training have been implemented,
however, there are virtually no methods that view the
extraction of rules from ANNs as systems which are
independent from their architecture, training and
internal distribution of weights, connections and
activation functions. This paper proposes a
rule-extraction system of ANNs regardless of their
architecture (multi-layer or recurrent), using Genetic
programming as a rule-exploration technique.",
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notes = "IJCNN 2002 Held in connection with the World Congress
on Computational Intelligence (WCCI 2002)",
- }
Genetic Programming entries for
Julian Dorado
Juan Ramon Rabunal Dopico
Daniel Rivero Cebrian
Antonino Santos del Riego
Alejandro Pazos Sierra
Citations