Using Neural Networks for Marketing Research Data Classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00179245" target="_blank" >RIV/62156489:43110/11:00179245 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Neural Networks for Marketing Research Data Classification
Original language description
This paper deals with problems of marketing research data classification by means of artificial Neural Networks algorithms. Two basic methods are described, classification with the aid of Multi-layer Perceptron neural network with Back-propagation algorithm and classification with the aid of Self-organizing (Kohonen's) maps. Finally, applicability of these algorithms is compared. These algorithms are applied over the data from a survey about consumer behavior in the food market in the Czech Republic. The limits of this approach are considered and possibilities of more complex structural recognition methods and semi-supervised learning utilization are suggested.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mathematical Methods and Techniques in Engeneering & Environmental Science
ISBN
978-1-61804-046-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
252-256
Publisher name
WSEAS Press
Place of publication
Catania, Sicily, Italy
Event location
Catania, Sicily, Italy
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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