Application of Chaos Theory and Genetic Programming in Runoff Time Series
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Article{Ghorbani:2012:ijsce,
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author = "Mohammad Ali Ghorbani and Hossein Jabbari Khamnei and
Hakimeh Asadi and Peyman Yousefi",
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title = "Application of Chaos Theory and Genetic Programming in
Runoff Time Series",
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journal = "International Journal of Structural and Civil
Engineering",
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year = "2012",
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volume = "1",
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number = "2",
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pages = "26--34",
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month = feb,
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keywords = "genetic algorithms, genetic programming, chaos,
runoff, lighvan basin",
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annote = "The Pennsylvania State University CiteSeerX Archives",
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bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
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language = "en",
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oai = "oai:CiteSeerX.psu:10.1.1.1011.4775",
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ISSN = "2277-7032",
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URL = "http://vixra.org/abs/1405.0106",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.4775",
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URL = "http://vixra.org/pdf/1405.0106v1.pdf",
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size = "9 page",
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abstract = "Nowadays, prediction of runoff is very important in
water resources management and their permanent
development. Along with scientific advances in recent
years, various intelligent methods and regression and
mathematical methods have been presented to estimate
the runoff. In this paper, Two different methods are
used, Chaos analysis and genetic programming. The
performances of models are analysed and result showed
that runoff have had chaotic behaviour. Application of
genetic programming models in estimating the runoff is
also studied in this paper. The data that has been used
has chaotic behaviour and a mathematical model of
genetic programming with rainfall and runoff as model
inputs was result.",
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notes = "p33 'prediction with GP is good.' http://ijsce.com/",
- }
Genetic Programming entries for
Mohammad Ali Ghorbani
Hossein Jabbari Khamnei
H Asadi
Peyman Yousefi
Citations