Wave forecasts using wind information and genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @Article{Nitsure:2012:OE,
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author = "S. P. Nitsure and S. N. Londhe and K. C. Khare",
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title = "Wave forecasts using wind information and genetic
programming",
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journal = "Ocean Engineering",
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volume = "54",
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month = "1 " # nov,
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pages = "61--69",
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year = "2012",
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keywords = "genetic algorithms, genetic programming, Significant
wave height, Wave forecasting, Artificial neural
networks, Kurtosis",
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ISSN = "0029-8018",
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DOI = "doi:10.1016/j.oceaneng.2012.07.017",
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URL = "http://www.sciencedirect.com/science/article/pii/S0029801812002491",
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abstract = "Forecasting of wave heights is essential for planning
and operation of maritime activities. Traditionally,
wave heights have been predicted using physics-based
models, which rely primarily on the energy balance
equation. More recently, soft computing techniques such
as Artificial Neural Network (ANN), Genetic Programming
(GP) have been used to generate forecasts with leads
times from a few hours to several days. However, the
forecast accuracy of both methods could be improved,
particularly at peak wave heights, and at higher lead
times. This paper forecasts the wave heights with lead
times of 12 h and 24 h using GP. The data are obtained
from two locations, along the North American and Indian
coastlines. Wind information is used as an input. The
modelling procedure relies heavily on the parameter
kurtosis, or fourth moment. The forecasts are
satisfactory, especially for the peak wave heights
formed by the extreme events like hurricanes.",
- }
Genetic Programming entries for
S P Nitsure
S N Londhe
K C Khare
Citations