Visualization of Diversity in Computational Intelligence Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03132654" target="_blank" >RIV/68407700:21230/07:03132654 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Visualization of Diversity in Computational Intelligence Methods
Original language description
Diversity is one of the most important factors that influences quality of results of computational intelligence methods. Study of diversity is not straightforward, since the diversity usually arises from a multidimensional environment. In this paper we present several methods how to visualize diversity in computational intelligence, namely evolutionary algorithms and artificial neural networks. In evolutionary algorithms, there is a need to visualize diversity of individuals in populations. In neural networks a diversity of neurons is being studied. We designed and used several techniques for visualization of diversities.
Czech name
Visualization of Diversity in Computational Intelligence Methods
Czech description
Není k dispozici

Project
<a href="/en/project/KJB201210701" target="_blank" >KJB201210701: Automated Knowledge Extraction</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 2nd ISGI 2007 Interational CODATA Symposium on Generalization of Information
ISBN
978-3-00-022382-2
ISSN
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e-ISSN
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Number of pages
15
Pages from-to
20-34
Publisher name
CODATA - Germany e.V.
Place of publication
Berlin
Event location
Geneva (Carouge)
Event date
Oct 1, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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