Artificial neural networks generation using grammatical evolution
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gp-bibliography.bib Revision:1.8081
- @InProceedings{Soltanian:2013:ICEE,
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author = "Khabat Soltanian and Fardin Akhlaghian Tab and
Fardin Ahmadi Zar and Ioannis Tsoulos",
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title = "Artificial neural networks generation using
grammatical evolution",
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booktitle = "21st Iranian Conference on Electrical Engineering
(ICEE 2013)",
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year = "2013",
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address = "Mashhad, Iran",
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month = "14-16 " # may,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, artificial neural networks, evolutionary
computing, classification problems",
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ISSN = "2164-7054",
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DOI = "doi:10.1109/IranianCEE.2013.6599788",
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size = "5 pages",
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abstract = "in this paper an automatic artificial neural network
generation method is described and evaluated. The
proposed method generates the architecture of the
network by means of grammatical evolution and uses back
propagation algorithm for training it. In order to
evaluate the performance of the method, a comparison is
made against five other methods using a series of
classification benchmarks. In the most cases it shows
the superiority to the compared methods. In addition to
the good experimental results, the ease of use is
another advantage of the method since it works with no
need of experts.",
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notes = "Also known as \cite{6599788}",
- }
Genetic Programming entries for
Khabat Soltanian
Fardin Akhlaghian Tab
Fardin Ahmadizar
Ioannis G Tsoulos
Citations