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,
  title =        "Parameter Estimation Algorithm for Storm Intensity
                 Model with Single Return Period Based on Multicellular
                 Gene Expression Programming",
  author =       "Yu-zhong Peng and Jie Li and Chang'an Yuan and 
                 Baoqin Hu",
  journal =      "Journal of Computers",
  year =         "2014",
  number =       "9",
  volume =       "9",
  pages =        "2132--2138",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, Storm rainfall intensity,
                 parameter estimation",
  bibdate =      "2014-09-03",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/jcp/jcp9.html#PengLYH14",
  URL =          "http://dx.doi.org/10.4304/jcp.9.9.2132-2138",
  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