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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Prediction Of Raw Material Batches For The Production Of
Clinker By Means Of Artificial Neural Networks -Analysis Of Behaviour |
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Authors: |
Zuzana Kominkova
Oplatkova, Roman Senkerik |
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Published in:
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(2015).ECMS 2015 Proceedings edited
by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European
Council for Modeling and Simulation. doi:10.7148/2015 ISBN:
978-0-9932440-0-1 29th
European Conference on Modelling and Simulation, Albena (Varna), Bulgaria,
May 26th – 29th,
2015 |
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Citation
format: |
Zuzana Kominkova
Oplatkova, Roman Senkerik
(2015). Prediction Of Raw Material Batches For The Production Of Clinker By
Means Of Artificial Neural Networks -Analysis Of Behaviour,
ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova European Council for Modeling
and Simulation. doi:10.7148/2015-0570 |
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DOI: |
http://dx.doi.org/10.7148/2015-0570 |
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Abstract: |
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 have
to be extracted for 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. Artificial neural networks (ANN) are
suitable for such kind of timeindependent
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. |
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