Název: Advanced Data Analysis for Industrial Applications
Autoři: Wagner, Zdeněk ; Kovanic, Pavel
Typ dokumentu: Příspěvky z konference
Konference/Akce: Modelling Smard Grids 2015, Prague (CZ), 2015-09-10 / 2015-09-11
Rok: 2015
Jazyk: eng
Abstrakt: One of the principal tasks of nowaday's industry is process intensification. The methodology for finding reliable results is highly demanded. While marketing is concentrated on analysis big data that are available in eShops as well as other internet media, the situation in the industry is different because solution must be found in real time based on limited amount of data. The algorithms of data analysis must therefore be fast and robust. In the last few decades statistical methods have advanced considerably but a new, nonstatistical approach to uncertainty, called mathematical gnostics, have also be developed. This new approach is based upon the fundamental laws of nature and robustness is its inherent property. The contribution will present several applications with the emphasis laid upon description of the main features of mathematical gnostics. Previous applications in energetics that can be enhanced by use of the modern algorithms of data analysis will also be mentioned.
Klíčová slova: data analysis; mathematical gnostics; robust methods
Zdrojový dokument: Abstracts Book, ISBN 978-2-910239-82-4
Práva: Dílo je chráněno podle autorského zákona č. 121/2000 Sb.

Instituce: Ústav chemických procesů AV ČR (web)
Původní záznam: http://hdl.handle.net/11104/0250606

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-200862


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Ústav chemických procesů
Konferenční materiály > Příspěvky z konference