A multi-model approach to analysis of environmental phenomena

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@Article{Giustolisi:2007:EMS,
  author =       "O. Giustolisi and A. Doglioni and D. A. Savic and 
                 B. W. Webb",
  title =        "A multi-model approach to analysis of environmental
                 phenomena",
  journal =      "Environmental Modelling \& Software",
  year =         "2007",
  volume =       "22",
  number =       "5",
  pages =        "674--682",
  note =         "The Implications of Complexity for Integrated
                 Resources

                 The Second Biannual Meeting of the International
                 Environmental Modelling and Software Society:
                 Complexity and Integrated Resources Management",
  keywords =     "genetic algorithms, genetic programming, EPR,
                 Evolutionary Polynomial Regression, Scientific
                 knowledge discovery from data, Environmental modelling,
                 Evolutionary computing, Data reconstruction",
  ISSN =         "1364-8152",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1364815206000326",
  DOI =          "doi:10.1016/j.envsoft.2005.12.026",
  size =         "9 pages",
  abstract =     "A data-driven methodology named Evolutionary
                 Polynomial Regression is introduced. EPR permits the
                 symbolic and multi-purpose modelling of physical
                 phenomena, through the simultaneous solution of a
                 number of models. Multi-purpose modelling or
                 multi-modelling enables the user to make a different
                 choice according to what the model is aiming at: (a)
                 the scientific knowledge based on data modelling, (b)
                 on-line and off-line forecasting, (c) data augmentation
                 (i.e. infilling of missing data in time series) and so
                 on. This allows a more robust model selection phase. A
                 case study based on the application of Evolutionary
                 Polynomial Regression to the study of the thermal
                 behaviour of a stream is presented.",
}

Genetic Programming entries for Orazio Giustolisi Angelo Doglioni Dragan Savic Bruce Webb

Citations