Application of Genetic Programming on Temper Mill Datasets
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- @InProceedings{Kommenda:2009:LINDI,
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author = "Michael Kommenda and Gabriel Kronberger and
Stephan Winkler and Michael Affenzeller and Stefan Wagner and
Leonhard Schickmair and Benjamin Lindner",
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title = "Application of Genetic Programming on Temper Mill
Datasets",
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booktitle = "2nd International Conference on Logistics and
Industrial Informatics, LINDI 2009",
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year = "2009",
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month = sep,
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pages = "1--5",
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abstract = "Temper rolling is essential for the quality of steel
sheets. The degree of temper rolling determines the
mechanical properties of the steel sheet and is highly
influenced by the rolling force or strip tension. Since
mathematical models generate unsatisfactory results for
the calculation of these two process parameters, other
methods for the presetting of tempers mills must be
used. The parameter presetting of temper mills is of
prime importance because it reduces the effort of
tuning these parameters later. Hence, the production
costs are reduced by minimizing the amount of wasted
material that does not fulfill the quality
requirements.
Genetic programming (GP) is an evolutionary inspired
and population based modeling technique and has been
successfully applied in different contexts. In this
paper we present first results of advanced genetic
programming concepts on large datasets from a temper
mill in comparison to linear regression (LR), support
vector machines (SVMs) and previous analysis on the
datasets. The use of GP shows an improvement compared
to previous work, but is still inferior to models
obtained by SVMs. A major advantage of GP compared to
support vector machines is that the identified models
are mathematical formulae which can be interpreted and
enable knowledge generation about the temper rolling
process.",
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keywords = "genetic algorithms, genetic programming, evolutionary
inspired based modeling technique, linear regression
analysis, mathematical model, mechanical properties,
population based modeling technique, steel sheet
quality, strip tension, support vector machines, temper
mill dataset, temper rolling, data handling, hot
rolling, production engineering computing, rolling
mills, sheet metal processing, tempering",
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DOI = "doi:10.1109/LINDI.2009.5258766",
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notes = "Also known as \cite{5258766}",
- }
Genetic Programming entries for
Michael Kommenda
Gabriel Kronberger
Stephan M Winkler
Michael Affenzeller
Stefan Wagner
Leonhard Schickmair
Benjamin Lindner
Citations