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Indian Journal of Geo-Marine Sciences (IJMS) >
IJMS Vol.39 [2010] >
IJMS Vol.39(4) [December 2010] >
| Title: | Artificial neural networks in coastal and ocean engineering |
| Authors: | Deo, M C |
| Keywords: | Artificial neural networks
Ocean parameters
Ocean predictions |
| Issue Date: | Dec-2010 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | Artificial neural network (ANN)s have been applied to solve a variety of
problems related to the coastal and ocean areas over a period of last one and a
half decades. Most of these studies have involved estimation or forecasting of
environmental parameters, structural loads and responses. The aim in such
studies were to carry out a cause-effect modeling, temporal or spatial mapping,
and property integration and resolution. ANN models have been generally found
to outperform the traditional empirical, statistical or numerical models to a
smaller or larger extent. There are however certain grey areas where the
modeling and its usefulness needs to be improved. This paper takes a stock of
all such past works and summarizes author’s experience in working with ANNs for
the benefit of future researchers. |
| Page(s): | 589-596 |
| CC License: |  CC Attribution-Noncommercial-No Derivative Works 2.5 India |
| ISSN: | 0975-1033 (Online); 0379-5136 (Print) |
| Source: | IJMS Vol.39(4) [December 2010]
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