Application of Genetic Programming for estimation of ocean wave heights

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Nitsure:2009:NaBIC,
  author =       "S. P. Nitsure and S. N. Londhe and K. C. Khare",
  title =        "Application of Genetic Programming for estimation of
                 ocean wave heights",
  booktitle =    "World Congress on Nature Biologically Inspired
                 Computing, NaBIC 2009",
  year =         "2009",
  month =        dec,
  pages =        "1520--1523",
  keywords =     "genetic algorithms, genetic programming, artificial
                 neural network, civil engineering, hydrology, ocean
                 buoys, ocean engineering computations, ocean wave
                 height estimation, oceanic parameter prediction,
                 significant wave height, soft computing tools, water
                 flow modelling, water level forecasting, wave
                 forecasting, geophysics computing, ocean waves,
                 oceanographic techniques",
  DOI =          "doi:10.1109/NABIC.2009.5393666",
  abstract =     "In the recent past, researchers and investigators in
                 Civil Engineering have increasingly used soft computing
                 tools to yield better results than the traditional
                 numerical and statistical techniques in modelling water
                 flows. Artificial Neural Network (ANN) is one such
                 technique which has attained a strong foothold in the
                 field of Hydrology and Ocean Engineering particularly
                 for forecasting stream flows, wave forecasting, water
                 level forecasting etc. In the last few years another
                 efficient and useful soft computing tool, `Genetic
                 Programming' (GP) has caught attention of the
                 researchers for ocean engineering computations. GP is
                 found to be a promising tool for prediction of oceanic
                 parameters. This paper outlines the basic principles of
                 GP Modelling and makes an attempt to estimate an
                 important oceanic parameter - Significant Wave Height
                 (SWH) using the wind information. Wave and wind
                 measurements taken by moored ocean buoys are used to
                 develop the GP models. The GP based estimations are
                 found to have a reasonable accuracy in estimation of
                 significant wave heights as evident from wave plots and
                 accompanying high values of correlation coefficient.",
  notes =        "Also known as \cite{5393666}",
}

Genetic Programming entries for S P Nitsure S N Londhe K C Khare

Citations