Air Quality Assessment by Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F11%3A39892232" target="_blank" >RIV/00216275:25410/11:39892232 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.4018/978-1-60960-156-0.ch005" target="_blank" >http://dx.doi.org/10.4018/978-1-60960-156-0.ch005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/978-1-60960-156-0.ch005" target="_blank" >10.4018/978-1-60960-156-0.ch005</a>
Alternative languages
Result language
angličtina
Original language name
Air Quality Assessment by Neural Networks
Original language description
The chapter presents an overview of current methods for air quality assessment, i.e. air stress indices and air quality indices. Traditional air quality assessment is realized using air quality indices which are determined as mean values of selected airpollutants. Thus, air quality assessment depends on strictly given limits without taking into account specific local conditions and synergic relations between air pollutants and other meteorological factors. The stated limitations can be eliminated, e.g.using systems based on neural networks and fuzzy logic. Therefore, the chapter presents a design of a model for air quality assessment based on a combination of Kohonen's self-organizing feature maps and fuzzy logic neural networks. The model makes it possible to analyze the structure of data, to find localities with similar air quality, and to interpret the classification results by means of fuzzy logic. Due to its generalization ability, it is also possible to classify unknown localit
Czech name
—
Czech description
—
Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Environmental Modeling for Sustainable Regional Development : System Approaches and Advanced Methods
ISBN
978-1-60960-156-0
Number of pages of the result
27
Pages from-to
91-117
Number of pages of the book
492
Publisher name
IGI Global
Place of publication
Hershey
UT code for WoS chapter
—