Improvements Quality of Kohonen Maps Using Dimension Reduction Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86076608" target="_blank" >RIV/61989100:27240/10:86076608 - 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
Improvements Quality of Kohonen Maps Using Dimension Reduction Methods
Original language description
Mean square error is usual method to measure quality of self-organizing map (SOM). MSE brings good theoretical description about learning process, but its rather hard to decide what MSE is small enough, or when learning should be stoped. A new techniquefor measurement of quality of SOM using singular value decomposition will be presented in this paper.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA205%2F09%2F1079" target="_blank" >GA205/09/1079: Methods of Artificial Inteligence in GIS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Self-Organizing Maps
ISBN
978-953-307-074-2
Number of pages of the result
14
Pages from-to
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Number of pages of the book
430
Publisher name
In-tech
Place of publication
Vukovar
UT code for WoS chapter
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