Evolving Graphs for ANN Development and Simplification
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InCollection{DBLP:reference/ai/RiveroP09,
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author = "Daniel Rivero and David Periscal",
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title = "Evolving Graphs for {ANN} Development and
Simplification",
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booktitle = "Encyclopedia of Artificial Intelligence",
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publisher = "IGI Global",
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year = "2009",
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editor = "Juan R. Rabunal and Julian Dorado and
Alejandro Pazos",
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chapter = "94",
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pages = "618--624",
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address = "Hershey, PA, USA",
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keywords = "genetic algorithms, genetic programming",
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timestamp = "Sun, 25 Jul 2021 11:43:38 +0200",
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biburl = "https://dblp.org/rec/reference/ai/RiveroP09.bib",
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bibsource = "dblp computer science bibliography, https://dblp.org",
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URL = "http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=10311",
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DOI = "doi:10.4018/978-1-59904-849-9.ch094",
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abstract = "One of the most successful tools in the Artificial
Intelligence (AI) world is Artificial Neural Networks
(ANNs). This technique is a powerful tool used in many
different environments, with many different purposes,
like classification, clustering, signal modelization,
or regression (Haykin, 1999). Although they are very
easy to use, their creation is not a simple task,
because the expert has to do much effort and spend much
time on it. The development of ANNs can be divided into
two parts: architecture development and training and
validation. The architecture development determines not
only the number of neurons of the ANN, but also the
type of the connections among those neurons. The
training determines the connection weights for such
architecture. The architecture design task is usually
performed by means of a manual process, meaning that
the expert has to test different architectures to find
the one able to achieve the best results. Each
architecture trial means training and validating it,
which can be a process that needs many computational
resources, depending on the complexity of the problem.
Therefore, the expert has much participation in the
whole ANN development, although techniques for
relatively automatic creation of ANNs have been
recently developed.",
- }
Genetic Programming entries for
Daniel Rivero Cebrian
David Periscal
Citations