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Prediction of raw material batches for the production of clinker by means of artificial neural networks-Analysis of behaviour

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43874009" target="_blank" >RIV/70883521:28140/15:43874009 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.scs-europe.net/dlib/2015/2015-0570.htm" target="_blank" >http://www.scs-europe.net/dlib/2015/2015-0570.htm</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7148/2015-0570" target="_blank" >10.7148/2015-0570</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prediction of raw material batches for the production of clinker by means of artificial neural networks-Analysis of behaviour

  • Original language description

    This research deals with the analysis of the behaviour of artificial neural nets for prediction of raw material batches for the production of clinker. During the production several oxides that are present in raw materials in quarries has to be extractedfor homogenization of the mixture suitable for clinker production. There is some delay between the measurement of the mixture and the material which is send from quarry. It is necessary to "send" precise chemical composition to ensure a good quality of clinker and resulting product - cement. ANN are suitable for such kind of time-independent prediction. The results show that not all oxides are necessary to use for the prediction of one oxide. The ANN were designed into several nets with one input similarly as pseudo neural networks are able to work. The results will be used for the purpose of further research of pseudo neural nets which currently serve only as classifiers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • 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)

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings - 29th European Conference on Modelling and Simulation, ECMS 2015

  • ISBN

    978-0-9932440-0-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    570-575

  • Publisher name

    ECMS - European Council for Modelling and Simulation

  • Place of publication

    Albena (Varna)

  • Event location

    Albena (Varna)

  • Event date

    May 26, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article