Comprehensive framework for hydrodynamic modelling and prediction of Singapore regional water

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@PhdThesis{TaySHX,
  author =       "Serene Hui Xin Tay",
  title =        "Comprehensive framework for hydrodynamic modelling and
                 prediction of Singapore regional water",
  school =       "National University of Singapore",
  year =         "2015",
  month =        "11 " # may,
  keywords =     "genetic algorithms, genetic programming, hydrodynamic,
                 model, Singapore, Malacca Strait, tide",
  URL =          "http://www.scholarbank.nus.edu.sg/handle/10635/119622",
  URL =          "http://www.scholarbank.nus.edu.sg/bitstream/handle/10635/119622/TaySHX.pdf",
  size =         "276 pages",
  abstract =     "he main objective of the research presented in this
                 thesis is to understand the hydrodynamics in Singapore
                 regional waters and develop a comprehensive framework
                 that involves both modelling and data assimilation
                 approaches to effectively and efficiently deliver
                 accurate hydrodynamic hindcast and forecast. In
                 conclusion, separate modelling approaches are developed
                 and implemented to cater for accurate hindcast and
                 forecast computations, through better understanding of
                 (i) tidal behaviour in the region through multiple
                 domains modelling, (ii) non-tidal phenomenon, such as
                 the seasonal water level variation in the Malacca
                 Strait, (iii) uncertainty characterization of model
                 prediction, and (iv) use of genetic programming as a
                 model residual correction tool to improve model
                 prediction in the forecasting mode.",
  notes =        "Singapore-Delft Water Alliance (SDWA)

                 Supervisor: Vladan Babovic",
}

Genetic Programming entries for Serene Hui Xin Tay

Citations