Of data and models
Created by W.Langdon from
gp-bibliography.bib Revision:1.8204
- @Article{Cunge:2003:JH,
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author = "Jean A Cunge",
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title = "Of data and models",
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journal = "Journal of Hydroinformatics",
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year = "2003",
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volume = "5",
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number = "2",
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pages = "75--98",
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month = apr,
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keywords = "genetic algorithms, genetic programming",
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ISSN = "1464-7141",
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URL = "
http://www.iwaponline.com/jh/005/0075/0050075.pdf",
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DOI = "
doi:10.2166/hydro.2003.0007",
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size = "24 pages",
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abstract = "Relationship between the data, such as direct
observations of nature and recorded measurements, and
the models is very complicated in the 'water domain'.
It is not at all as clear and explicit as it is often
presented by teachers to students, by consultants to
clients, or by authors to readers of publications. A
number of aspects of this relationship are discussed
using examples to illustrate the author's views.
Limitations of data-driven tools (correlations,
Artificial Neuronal Networks, Genetic Algorithms, etc.)
and data-mining, when applied without physical
knowledge of the relevant phenomena, are discussed, as
are those of deterministic models. The currently used
'good practice' paradigm in modelling (the model is to
be set up, calibrated, validated and run) is rejected
when deterministic models are concerned. They should
not be calibrated. A new paradigm, a new 'code of good
practice', is proposed instead. Strategic and tactical
aspects of various available approaches to modelling of
physical phenomena and data exploitation have practical
engineering and financial consequences, most often
immediate and sometimes very important: hence the
significance of the subject that concerns the everyday
occupations of modellers, their clients and
end-users.",
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notes = "GP amongst others",
- }
Genetic Programming entries for
Jean A Cunge
Citations