Application of Chaos Theory and Genetic Programming in Runoff Time Series

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Article{Ghorbani:2012:ijsce,
  author =       "Mohammad Ali Ghorbani and Hossein Jabbari Khamnei and 
                 Hakimeh Asadi and Peyman Yousefi",
  title =        "Application of Chaos Theory and Genetic Programming in
                 Runoff Time Series",
  journal =      "International Journal of Structural and Civil
                 Engineering",
  year =         "2012",
  volume =       "1",
  number =       "2",
  pages =        "26--34",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming, chaos,
                 runoff, lighvan basin",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:10.1.1.1011.4775",
  ISSN =         "2277-7032",
  URL =          "http://vixra.org/abs/1405.0106",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1011.4775",
  URL =          "http://vixra.org/pdf/1405.0106v1.pdf",
  size =         "9 page",
  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.",
  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