Artificial Intelligence Tools to Forecast Ocean Waves in Real Time

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Pooja Jain and M. C. Deo",
  title =        "Artificial Intelligence Tools to Forecast Ocean Waves
                 in Real Time",
  journal =      "The Open Ocean Engineering Journal",
  year =         "2008",
  volume =       "1",
  pages =        "13--20",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1874-835X",
  DOI =          "doi:10.2174/1874835X00801010013",
  size =         "8 pages",
  abstract =     "Prediction of wind generated ocean waves over short
                 lead times of the order of some hours or days is
                 helpful in carrying out any operation in the sea such
                 as repairs of structures or laying of submarine
                 pipelines. This paper discusses an application of
                 different artificial intelligent tools for this
                 purpose. The physical domain where the wave forecasting
                 is made belongs to the western part of the Indian
                 coastline in Arabian Sea. The tools used are artificial
                 neural networks, genetic programming and model trees.
                 Station specific forecasts are made at those locations
                 where wave data are continuously observed. A time
                 series forecasting scheme is employed. Based on a
                 sequence of preceding observations forecasts are made
                 over lead times of 3 hr to 72 hr. Large differences in
                 the accuracy of the forecasts were not seen when
                 alternative forecasting tools were employed and hence
                 the user is free to use any one of them as per her
                 convenience and confidence. A graphical user interface
                 has been developed that operates on the received wave
                 height data from the field and produces the forecasts
                 and further makes them accessible to any user located
                 anywhere in the world.",
  notes =        "Department of Civil Engineering, IIT Bombay",

Genetic Programming entries for Pooja Jain M C Deo