Application of Genetic Programming for estimation of ocean wave heights
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @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