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Indian Journal of Geo-Marine Sciences (IJMS) >
IJMS Vol.41 [2012] >
IJMS Vol.41(1) [February 2012] >
| Title: | Artificial neural networks for estimation of temporal rate coefficient of equilibrium bar volume |
| Authors: | Kankal, Murat
Kömürcü, Murat İhsan
Yüksek, Ömer
Akpınar, Adem |
| Keywords: | Coastal Profiles
Artificial Neural Network
Temporal Variation
Bar Volume
Sediment Transport |
| Issue Date: | Feb-2012 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | Present study consists the growth of a bar profile
caused by cross-shore sediment transport. This is especially on growth of bar
volume (V) toward equilibrium bar volume (Veq). Three analysis
methods being a power and linear regression analysis (PRA and LRA) and an Artificial
Neural Network (ANN) analysis were performed to determine empirical temporal rate
coefficient (α). Forty-two experimental data
were used for training set and the rest of the experimental data were used for
testing set in the ANN analysis. As the results of analyses, the smallest average
relative and root mean square error (RMSE) computed for the ANN methods are
7.578% and 0.029, respectively. It has been obtained that the ANN analysis,
which is used for determination of α coefficient, gives reasonable results.
Finally, bar volumes were calculated by means of computed α values and compared
with the results of experimental data. |
| Page(s): | 45-55 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1033 (Online); 0379-5136 (Print) |
| Source: | IJMS Vol.41(1) [February 2012]
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