Artificial Intelligence Tools to Forecast Ocean Waves in Real Time
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Jain:2008:OOEJ,
-
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
Citations