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ĎURČANSKÝ, A.; STANĚK, K.; JEŽEK, M.; ŠŤASTNÝ, J.
Original Title
ANALYZING CONSUMER BEHAVIOR USING NEURAL NETWORKS AND GRAMMATICAL EVOLUTION
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
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.
English abstract
Keywords
Consumer’s Behaviour, survey analysis, classification, grammatical evolution, neural networks
Key words in English
Authors
RIV year
2026
Released
27.03.2025
ISBN
978-80-7701-047-4
Book
ECONOMIC COMPETITIVENESS AND SUSTAINABILITY 2025
Pages from
51
Pages to
59
Pages count
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" }