Parameter Estimation Algorithm for Storm Intensity Model with Single Return Period Based on Multicellular Gene Expression Programming
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- @Article{journals/jcp/PengLYH14,
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title = "Parameter Estimation Algorithm for Storm Intensity
Model with Single Return Period Based on Multicellular
Gene Expression Programming",
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author = "Yu-zhong Peng and Jie Li and Chang'an Yuan and
Baoqin Hu",
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journal = "Journal of Computers",
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year = "2014",
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number = "9",
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volume = "9",
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pages = "2132--2138",
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month = sep,
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Storm rainfall intensity,
parameter estimation",
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bibdate = "2014-09-03",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/jcp/jcp9.html#PengLYH14",
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URL = "http://dx.doi.org/10.4304/jcp.9.9.2132-2138",
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abstract = "To resolve the difficulty of parameter estimation of
Storm rainfall intensity formulation, a new
multicellular GEP parameter estimation algorithm, named
MC_GEP_MPO, with a novel individual coding scheme based
on Gene Expression Programming algorithm is proposed in
this paper. MC_GEP_MPO is used for solving the
parameter estimation problem of the single return
period of rainfall intensity forecast model using
historical rainfall statistical data as a learning
example. And its effectiveness in real compute instance
has been evaluated. The compared experiment result
shows that the proposed method exploring for parameter
estimation of Storm rainfall intensity formulation is
feasible and precise.",
- }
Genetic Programming entries for
Yu-zhong Peng
Jie Li
Chang-an Yuan
Baoqin Hu
Citations