Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/10807
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.
Description: 589-596
URI: http://hdl.handle.net/123456789/10807
ISSN: 0975-1033 (Online); 0379-5136 (Print)
Appears in Collections:IJMS Vol.39(4) [December 2010]

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