Subsymbolic methods for data mining in hydraulic engineering
Created by W.Langdon from
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- @Article{Minns:2000:JH,
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author = "Anthony W. Minns",
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title = "Subsymbolic methods for data mining in hydraulic
engineering",
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journal = "Journal of Hydroinformatics",
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year = "2000",
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volume = "2",
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number = "1",
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pages = "3--13",
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month = jan,
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keywords = "genetic algorithms, genetic programming, artificial
neural networks, ANN, data mining, subsymbolic
methods",
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ISSN = "1464-7141",
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URL = "http://www.iwaponline.com/jh/002/0003/0020003.pdf",
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DOI = "doi:10.2166/hydro.2000.0002",
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size = "11 pages",
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abstract = "This paper describes the results of experiments with
artificial neural networks (ANNs) and genetic
programming (GP) applied to some problems of data
mining. It is shown how these subsymbolic methods can
discover usable relations in measured and experimental
data with little or no a priori knowledge of the
governing physical process characteristics. On the one
hand, the ANN does not explicitly identify a form of
model but this form is implicit in the ANN, being
encoded within the distribution of weights. However, in
cases where the exact form of the empirical relation is
not considered as important as the ability of the
formula to map the experimental data accurately, the
ANN provides a very efficient approach. Furthermore, it
is demonstrated how numerical schemes, and thus partial
differential equations, may be derived directly from
data by interpreting the weight distribution within a
trained ANN. On the other hand, GP evolutionary force
is directed towards the creation of models that take a
symbolic form. The resulting symbolic expressions are
generally less accurate than the ANN in mapping the
experimental data, however, these expressions may
sometimes be more easily examined to provide insight
into the processes that created the data. An example is
used to demonstrate how GP can generate a wide variety
of formulae, of which some may provide genuine insight
while others may be quite useless.",
- }
Genetic Programming entries for
Anthony W Minns
Citations