Air Quality Modelling by Kohonen's Neural Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F07%3A00005350" target="_blank" >RIV/00216275:25410/07:00005350 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
čeština
Original language name
Air Quality Modelling by Kohonen's Neural Networks
Original language description
The paper presents a design of parameters for air quality modelling and the classification of districts into classes according to their pollution. Further, it presents a model design, data pre-processing, the designs of various structures of Kohonen's Self-organizing Feature Maps (unsupervised methods), the clustering by K-means algorithm and the classification.
Czech name
Air Quality Modelling by Kohonen's Neural Networks
Czech description
The paper presents a design of parameters for air quality modelling and the classification of districts into classes according to their pollution. Further, it presents a model design, data pre-processing, the designs of various structures of Kohonen's Self-organizing Feature Maps (unsupervised methods), the clustering by K-means algorithm and the classification.

Project
<a href="/en/project/SP%2F4I2%2F60%2F07" target="_blank" >SP/4I2/60/07: Indicators for assessment and simulation of interactions among environment, economics and social connections</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

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

Article name in the collection
Proceedings of the 6th WSEAS International Conference CIMMACS 2007 and the 5th WSEAS International Conference EED 2007
ISBN
978-960-6766-25-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
221-226
Publisher name
WSEAS Press
Place of publication
Atény
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
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