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Ann based prediction of blast furnace parameters

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Main Author: Bag, Sujit Kumar, Prof. Dr.
Other Authors: sujitbag@yahoo.com
Format: Article
Language:English
Published: The Institution of Engineers, Malaysia 2011
Subjects:
ANN prediction technique
Feed forward
Optimal neural network
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13756
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spelling my.unimap-137562011-09-14T15:25:49Z Ann based prediction of blast furnace parameters Bag, Sujit Kumar, Prof. Dr. sujitbag@yahoo.com ANN prediction technique Feed forward Optimal neural network Link to publisher's homepage at http://www.myiem.org.my/ The paper presents a method to predict blast furnace parameters based on artificial neural network (ANN). The prediction is important as the parameters cause the degradation of the production process. The productivity as well as quality can be improved by knowing these parameters in advance. In this context, the iron making process in the modern blast furnace is briefly illustrated. Characterisation of the input and the output parameters as well as the design of a feed forward neural network (FFNN) is outlined. The implementation issues are discussed to predict the parameters like hot metal temperature (HMT) and percentage of impurity of silicon content in molten iron. The simulation and plant trial results are compared to show the effectiveness of the approach. 2011-09-14T15:25:49Z 2011-09-14T15:25:49Z 2007-03 Article The Journal of the Institution of Engineers, Malaysia, vol. 68(1), 2007, pages 37-42 0126-513X http://myiem.org.my/content/iem_journal_2007-178.aspx http://hdl.handle.net/123456789/13756 en The Institution of Engineers, Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic ANN prediction technique
Feed forward
Optimal neural network
spellingShingle ANN prediction technique
Feed forward
Optimal neural network
Bag, Sujit Kumar, Prof. Dr.
Ann based prediction of blast furnace parameters
description Link to publisher's homepage at http://www.myiem.org.my/
author2 sujitbag@yahoo.com
author_facet sujitbag@yahoo.com
Bag, Sujit Kumar, Prof. Dr.
format Article
author Bag, Sujit Kumar, Prof. Dr.
author_sort Bag, Sujit Kumar, Prof. Dr.
title Ann based prediction of blast furnace parameters
title_short Ann based prediction of blast furnace parameters
title_full Ann based prediction of blast furnace parameters
title_fullStr Ann based prediction of blast furnace parameters
title_full_unstemmed Ann based prediction of blast furnace parameters
title_sort ann based prediction of blast furnace parameters
publisher The Institution of Engineers, Malaysia
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/13756
_version_ 1643790957828636672
score 13.222552

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