Description of RANNs and their generalisation capabilities by means of rule extraction by genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{conf/asc/GestalRDP06,
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title = "Description of {RANNs} and their generalisation
capabilities by means of rule extraction by genetic
programming",
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author = "Marcos Gestal and Juan R. Rabu{\~n}al and
Julian Dorado and Javier {Pereira Loureiro}",
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booktitle = "Artificial Intelligence and Soft Computing",
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publisher = "IASTED/ACTA Press",
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year = "2006",
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editor = "Angel P. Del Pobil",
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ISBN = "0-88986-612-0",
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pages = "323--328",
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address = "Palma de Mallorca, Spain",
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month = aug # " 28-30",
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bibdate = "2007-01-26",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/asc/asc2006.html#GestalRDP06",
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keywords = "genetic algorithms, genetic programming, Recurrent
Artificial Neural Networks, Rule Extraction, Algorithm
of Example Generation, Generalisation Capabilities,
Series Prediction",
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URL = "http://www.actapress.com/PaperInfo.aspx?PaperID=28200",
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URL = "http://sabia.tic.udc.es/sabia/secciones/publications/?id=311",
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abstract = "Artificial Neural Networks have achieved satisfactory
results in different fields such as example
classification or image identification. Real-world
processes usually have a temporal evolution, and they
are the type of processes where Recurrent Networks have
special success. Nevertheless they are still
reluctantly used, mainly due to the fact that they do
not adequately justify their response. But, if ANNs
offer good results, why giving them up? Suffice it to
find a method that might search an explanation to the
outputs that the ANN provides. This work presents a
technique, totally independent from ANN architecture
and the learning algorithm used, which makes possible
the justification of the ANN outputs by means of
expression trees.",
- }
Genetic Programming entries for
Marcos Gestal Pose
Juan Ramon Rabunal Dopico
Julian Dorado
Javier Pereira Loureiro
Citations