Time Series Pattern Recognition via SoftComputing
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Kotyrba:2011:3PGCIC,
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author = "Martin Kotyrba and Zuzana Oplatkova and Eva Volna and
Roman Senkerik and Vaclav Kocian and Michal Janosek",
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title = "Time Series Pattern Recognition via SoftComputing",
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booktitle = "International Conference on P2P, Parallel, Grid, Cloud
and Internet Computing (3PGCIC 2011)",
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year = "2011",
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month = "26-28 " # oct,
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pages = "384--389",
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address = "Barcelona",
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size = "6 pages",
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abstract = "In this paper we develop two methods that are able to
analyse and recognise patterns in time series. The
first model is based on analytic programming (AP),
which belongs to soft computing. AP is based as well as
genetic programming on the set of functions, operators
and so-called terminals, which are usually constants or
independent variables. The second one uses an
artificial neural network that is adapted by back
propagation. Artificial neural networks are suitable
for pattern recognition in time series mainly because
of learning only from examples. There is no need to add
additional information that could bring more confusion
than recognition effect. Neural networks are able to
generalise and are resistant to noise. On the other
hand, it is generally not possible to determine exactly
what a neural network learnt and it is also hard to
estimate possible recognition error. They are ideal
especially when we do not have any other description of
the observed series. This paper also includes
experimental results of time series pattern recognition
carried out with both mentioned methods, which have
proven their suitability for this type of problem
solving.",
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keywords = "genetic algorithms, genetic programming, analytic
programming, artificial neural network, pattern
recognition, problem solving, soft computing, time
series, neural nets, pattern recognition, problem
solving, time series",
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DOI = "doi:10.1109/3PGCIC.2011.72",
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notes = "Also known as \cite{6154911}",
- }
Genetic Programming entries for
Martin Kotyrba
Zuzana Oplatkova
Eva Volna
Roman Senkerik
Vaclav Kocian
Michal Janosek
Citations