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Detail publikačního výsledku
ĎURČANSKÝ, A.; STANĚK, K.; JEŽEK, M.; ŠŤASTNÝ, J.
Originální název
ANALYZING CONSUMER BEHAVIOR USING NEURAL NETWORKS AND GRAMMATICAL EVOLUTION
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
In this contribution, we will present an approach to the automatic classification of customers based on their behaviour in the food market. The analysis is based on the data from a survey on meat product consumption in the Czech Republic. Classifiers were created to categorize customers into classes according to their habits of purchasing meat products, dividing the customers with respect to such characteristics as age or education. To accomplish this task some selected types of artificial neural networks (Multi-Layer Perceptron Neural Network, Kohonen Neural Network) were trained and also an approach based on grammatical evolution was used. These classifiers were compared with regard to their abilities to perform the given task. Also, the survey data pre-processing is described.
Anglický abstrakt
Klíčová slova
Consumer’s Behaviour, survey analysis, classification, grammatical evolution, neural networks
Klíčová slova v angličtině
Autoři
Rok RIV
2026
Vydáno
27.03.2025
ISBN
978-80-7701-047-4
Kniha
ECONOMIC COMPETITIVENESS AND SUSTAINABILITY 2025
Strany od
51
Strany do
59
Strany počet
9
URL
https://doi.mendelu.cz/pdfs/doi/9900/10/1400.pdf
BibTex
@inproceedings{BUT198812, author="Aleš {Ďurčanský} and Kamil {Staněk} and Michal {Ježek} and Jiří {Šťastný}", title="ANALYZING CONSUMER BEHAVIOR USING NEURAL NETWORKS AND GRAMMATICAL EVOLUTION", booktitle="ECONOMIC COMPETITIVENESS AND SUSTAINABILITY 2025", year="2025", pages="51--59", doi="10.11118/978-80-7701-047-4-0051", isbn="978-80-7701-047-4", url="https://doi.mendelu.cz/pdfs/doi/9900/10/1400.pdf" }