Modeling monthly mean maximum temperature using genetic programming
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- @Article{Shahid:2007:ijscomp,
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author = "S. Shahid and M. Hasan and R. U. Mondal",
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title = "Modeling monthly mean maximum temperature using
genetic programming",
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journal = "International Journal of Soft Computing",
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year = "2007",
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volume = "2",
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number = "5",
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pages = "612--616",
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keywords = "genetic algorithms, genetic programming, Climate
prediction",
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ISSN = "1816-9503",
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URL = "http://docsdrive.com/pdfs/medwelljournals/ijscomp/2007/612-616.pdf",
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URL = "http://medwelljournals.com/abstract/?doi=ijscomp.2007.612.616",
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DOI = "doi:10.3923/ijscomp.2007.612.616",
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size = "5 pages",
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abstract = "Climate is a continuous, data-intensive,
multidimensional, dynamic and chaotic process.
Conventional classical methods, generally used for
prediction from historical time series data, often fail
to predict climate reliably. Recently, various soft
computing techniques are being used for their
prediction. Genetic programming has been used in this
study for the modeling of monthly mean maximum
temperature. The result is compared to that obtained by
using neural network. The study shows that the model
produced by genetic programming can be used for the
reliable prediction of monthly mean maximum temperature
of the area. Though the result obtained by genetic
programming is more erroneous compared to neural
network, it provides an equation that could be used for
reasonable prediction of monthly mean maximum
temperature manually.",
- }
Genetic Programming entries for
Shamsuddin Shahid
M Hasan
R U Mondal
Citations