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Application of neural networks in coastal engineering - An overview

DRS at CSIR-National Institute of Oceanography

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Title Application of neural networks in coastal engineering - An overview
 
Creator Mandal, S.
Patil, S.G.
Manjunatha, Y.R.
Hegde, A.V.
 
Subject coastal engineering
coastal structures
neural networks
surface water waves
 
Description Artificial Neural Network (ANN) is being applied to solve a wide variety of coastal/ocean engineering problems. In practical terms ANNs are non-linear modeling tools and they can be used to model complex relationship between the input and output system. In addition, ANNs have a very high degree of freedom and are very simple to train the system for any number of input values, which makes the network attractive and reliable. ANNs are ideally suited to find many solutions like pattern reorganization, data classification, forecasting future events and time series analysis. This paper gives an overview of application of ANN in the field of coastal engineering.
 
Date 2010-06-04T11:20:43Z
2010-06-04T11:20:43Z
2008
 
Type Conference Article
 
Identifier The 12th International Conference of International Association for Computer Methods and Advances in Geomechanics (IACMAG) 1-6 October, 2008 Goa, India. Indian Institute of Technology Bombay; Powai, Mumbai; India; 1639-1645.
http://drs.nio.org/drs/handle/2264/3623
 
Language en
 
Rights Copyright [2008]. All efforts have been made to respect the copyright to the best of our
knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
 
Publisher Indian Institute of Technology Bombay