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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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
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e-ISSN
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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
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