Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @InProceedings{DBLP:conf/icannga/RiveroRDP07,
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author = "Daniel Rivero and Juan R. Rabunal and
Julian Dorado and Alejandro Pazos",
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title = "Automatic Design of ANNs by Means of GP for Data
Mining Tasks: Iris Flower Classification Problem",
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year = "2007",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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booktitle = "8th International Conference on Adaptive and Natural
Computing Algorithms, ICANNGA 2007, Part I",
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editor = "Bartlomiej Beliczynski and Andrzej Dzielinski and
Marcin Iwanowski and Bernardete Ribeiro",
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series = "Lecture Notes in Computer Science",
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volume = "4431",
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pages = "276--285",
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address = "Warsaw, Poland",
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month = apr # " 11-14",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-71589-4",
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DOI = "doi:10.1007/978-3-540-71618-1_31",
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abstract = "This paper describes a new technique for automatically
developing Artificial Neural Networks (ANNs) by means
of an Evolutionary Computation (EC) tool, called
Genetic Programming (GP). This paper also describes a
practical application in the field of Data Mining. This
application is the Iris flower classification problem.
This problem has already been extensively studied with
other techniques, and therefore this allows the
comparison with other tools. Results show how this
technique improves the results obtained with other
techniques. Moreover, the obtained networks are simpler
than the existing ones, with a lower number of hidden
neurons and connections, and the additional advantage
that there has been a discrimination of the input
variables. As it is explained in the text, this
variable discrimination gives new knowledge to the
problem, since now it is possible to know which
variables are important to achieve good results.",
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notes = "ICANNGA 2007",
- }
Genetic Programming entries for
Daniel Rivero Cebrian
Juan Ramon Rabunal Dopico
Julian Dorado
Alejandro Pazos Sierra
Citations