Introducing knowledge into learning based on genetic programming
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- @Article{Babovic:2009:JH,
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author = "Vladan Babovic",
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title = "Introducing knowledge into learning based on genetic
programming",
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journal = "Journal of Hydroinformatics",
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year = "2009",
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volume = "11",
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number = "3-4",
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pages = "181--193",
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keywords = "genetic algorithms, genetic programming, empirical
equations, hydraulics, sediment transport, strong
typing, symbolic regression, units of measurement",
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ISSN = "1464-7141",
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URL = "http://www.iwaponline.com/jh/011/0181/0110181.pdf",
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DOI = "doi:10.2166/hydro.2009.041",
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size = "13 pages",
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abstract = "This work examines various methods for creating
empirical equations on the basis of data while taking
advantage of knowledge about the problem domain. It is
demonstrated that the use of high level concepts aid in
evolving equations that are easier to interpret by
domain specialists. The application of the approach to
real-world problems reveals that the use of such
concepts results in equations with performance equal or
superior to that of human experts. Finally, it is
argued that the algorithm is best used as a hypothesis
generator assisting scientists in the discovery
process.",
- }
Genetic Programming entries for
Vladan Babovic
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