ICAR Research Data Repository for Knowledge Management
Wave transmission prediction of multilayer floating breakwater using neural network
DRS at CSIR-National Institute of Oceanography
View Archive Info| Field | Value | |
| Title |
Wave transmission prediction of multilayer floating breakwater using neural network
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| Creator |
Mandal, S.
Patil, S.G. Hegde, A.V. |
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| Subject |
Wave transmission
neural network floating breakwater |
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| Description |
In the present study, an artificial neural network method has been applied for wave transmission prediction of multilayer floating breakwater. Two neural network models are constructed based on the parameters which influence the wave transmission of floating breakwater. Training and testing of the network models are carried out for different hidden nodes and epochs. The results of network models are compared with the measured values. It is observed that the correlation (above 90%) between predicted wave transmission values by the network models and measured values are in good agreement.
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| Date |
2010-05-11T10:05:25Z
2010-05-11T10:05:25Z 2009 |
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| Type |
Conference Article
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| Identifier |
Proceedings of third International Conference in Ocean Engineering. ICOE-2009. eds. by: Subramanian, V.A.; Nallayarasu, S.; Sannasiraj, S.A., IIT; Madras; India; 574-585
http://drs.nio.org/drs/handle/2264/3610 |
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| Language |
en
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| Rights |
Copyright [2009]. 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. |
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| Publisher |
IIT; Madras
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