Searching for Dependences within the System of Measuring Stations by Using Symbolic Regression

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088506" target="_blank" >RIV/61989100:27240/13:86088506 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27740/13:86088506

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-00542-3_51" target="_blank" >http://dx.doi.org/10.1007/978-3-319-00542-3_51</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-00542-3_51" target="_blank" >10.1007/978-3-319-00542-3_51</a>

Result language

angličtina

Original language name

Searching for Dependences within the System of Measuring Stations by Using Symbolic Regression

Original language description

This article deals with searching for dependences within the System of Measuring Stations.Weather measuring stations represent one of the most important data sources. The same could be said about stations that measure the composition of air and the levelof pollutants. Knowledge of the current state of air quality resulting from the measured values is essential for citizens, especially in areas affected by heavy industry or dense traffic. Computation of such air quality indicators depends on values obtained from measuring stations which are more or less reliable. They can have failures or they can measure just a part of the required values. In general, searching for dependences represents a complex and non-linear problem that can be effectively solvedby some class of evolutionary algorithms. This article describes a method that helps us to predict the levels of air quality in the case of station failure or data loss. The model is constructed by the symbolic regression with usage of th

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Advances in Intelligent Systems and Computing. Volume 210

ISSN

2194-5357

e-ISSN

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Volume of the periodical

210

Issue of the periodical within the volume

12

Country of publishing house

DE - GERMANY

Number of pages

12

Pages from-to

517-528

UT code for WoS article

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EID of the result in the Scopus database

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