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|Title:||Artificial neural networks in coastal and ocean engineering|
|Authors:||Deo, M C|
|Keywords:||Artificial neural networks;Ocean parameters;Ocean predictions|
|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.|
|ISSN:||0975-1033 (Online); 0379-5136 (Print)|
|Appears in Collections:||IJMS Vol.39(4) [December 2010]|
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