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Artificial neural networks in coastal and ocean engineering

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Title Artificial neural networks in coastal and ocean engineering
 
Creator Deo, M C
 
Subject Artificial neural networks
Ocean parameters
Ocean predictions
 
Description 589-596
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.
 
Date 2011-01-04T09:04:06Z
2011-01-04T09:04:06Z
2010-12
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/10807
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.39(4) [December 2010]