ANALYZING CONSUMER BEHAVIOR USING NEURAL NETWORKS AND GRAMMATICAL EVOLUTION
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0198812" target="_blank" >RIV/00216305:26210/26:0198812 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43110/25:43927610
Result on the web
<a href="https://doi.mendelu.cz/pdfs/doi/9900/10/1400.pdf" target="_blank" >https://doi.mendelu.cz/pdfs/doi/9900/10/1400.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/978-80-7701-047-4-0051" target="_blank" >10.11118/978-80-7701-047-4-0051</a>
Alternative languages
Result language
angličtina
Original language name
ANALYZING CONSUMER BEHAVIOR USING NEURAL NETWORKS AND GRAMMATICAL EVOLUTION
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_017%2F0002334" target="_blank" >EF16_017/0002334: Research Infrastructure for Young Scientists</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ECONOMIC COMPETITIVENESS AND SUSTAINABILITY 2025
ISBN
978-80-7701-047-4
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
51-59
Publisher name
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Place of publication
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Event location
Mendel University in Brno, Czech Republic
Event date
Mar 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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