Time Series Modeling Using an Adaptive Gene Expression Programming Algorithm
Created by W.Langdon from
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- @Article{Barbulescu20092,
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author = "Alina Barbulescu and Elena Bautu",
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title = "Time Series Modeling Using an Adaptive Gene Expression
Programming Algorithm",
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year = "2009",
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journal = "International Journal of Mathematical Models and
Methods in Applied Sciences",
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volume = "3",
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pages = "85--93",
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number = "2",
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keywords = "genetic algorithms, genetic programming, Gene
Expression Programming",
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ISSN = "1998-0140",
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URL = "http://www.naun.org/journals/m3as/mmmas-134.pdf",
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size = "9 pages",
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abstract = "Meteorological time series are characterised by
important spatial and temporal variation. Model
determination and the prediction of evolution of such
series is of high importance for different practical
purposes, even if discovering evolution patterns in
such series is a very difficult problem. In this
article we describe an adaptive evolutionary technique
and we apply it for modelling the precipitation and
temperatures collected in a region of Romania. The
results are promising for the analysis of such time
series.",
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notes = "http://www.naun.org/journals/m3as/",
- }
Genetic Programming entries for
Alina Barbulescu
Elena Bautu
Citations