Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{AliGhorbani2010620,
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author = "Mohammad Ali Ghorbani and Rahman Khatibi and
Ali Aytek and Oleg Makarynskyy and Jalal Shiri",
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title = "Sea water level forecasting using genetic programming
and comparing the performance with Artificial Neural
Networks",
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journal = "Computer \& Geosciences",
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volume = "36",
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number = "5",
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pages = "620--627",
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year = "2010",
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ISSN = "0098-3004",
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DOI = "doi:10.1016/j.cageo.2009.09.014",
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URL = "http://www.sciencedirect.com/science/article/B6V7D-4YCS020-1/2/514d629e145e62f37dbf599a1a7608a9",
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keywords = "genetic algorithms, genetic programming, Sea-level
variations, Forecasting, Artificial Neural Networks,
Comparative studies",
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abstract = "Water level forecasting at various time intervals
using records of past time series is of importance in
water resources engineering and management. In the last
20 years, emerging approaches over the conventional
harmonic analysis techniques are based on using Genetic
Programming (GP) and Artificial Neural Networks (ANNs).
In the present study, the GP is used to forecast sea
level variations, three time steps ahead, for a set of
time intervals comprising 12 h, 24 h, 5 day and 10 day
time intervals using observed sea levels. The
measurements from a single tide gauge at Hillarys Boat
Harbour, Western Australia, were used to train and
validate the employed GP for the period from December
1991 to December 2002. Statistical parameters, namely,
the root mean square error, correlation coefficient and
scatter index, are used to measure their performances.
These were compared with a corresponding set of
published results using an Artificial Neural Network
model. The results show that both these artificial
intelligence methodologies perform satisfactorily and
may be considered as alternatives to the harmonic
analysis.",
- }
Genetic Programming entries for
Mohammad Ali Ghorbani
Rahman Khatibi
Ali Aytek
Oleg Makarynskyy
Jalal Shiri
Citations