Acta Univ. Agric. Silvic. Mendelianae Brun. 2013, 61, 2445-2449

https://doi.org/10.11118/actaun201361072445
Published online 2013-12-24

Classification of economic data into multiple classes by means of evolutionary methods

Jiří Lýsek, Jiří Šťastný

Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, 613 00 Brno, Czech Republic

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.

References

10 live references