Classification of economic data into multiple classes by means of evolutionary methods
2013 ◽
Vol 61
(7)
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pp. 2445-2449
Keyword(s):
In this contribution we deal with an automatic classification of economic data into multiple classes. A classifier created by grammatical evolution is used to determine the data sample membership into one of the defined classes. The grammar rules used for classifier structure creation are presented. The performance of our classifier is compared with multilayer perceptron neural network classifier and Kohonen neural network classifier. We used a survey data of consumer behaviour in food market in Czech Republic.
2006 ◽
Vol 3
(1)
◽
pp. 201-227
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2012 ◽
Vol 16
(1)
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pp. 19-28
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Keyword(s):
Keyword(s):
2021 ◽
Vol 35
(4)
◽
pp. 340
2021 ◽
Vol 12
(3)
◽
pp. 35-43
1997 ◽
Vol 25
(6)
◽
pp. 607-619
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2017 ◽
Vol 89
◽
pp. 205-221
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