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dc.contributor.authorMandal, S.
dc.contributor.authorPatil, S.G.
dc.contributor.authorManjunatha, Y.R.
dc.contributor.authorHegde, A.V.
dc.date.accessioned2010-06-04T11:20:43Z
dc.date.available2010-06-04T11:20:43Z
dc.date.issued2008
dc.identifier.citationThe 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.
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/3623
dc.description.abstractArtificial 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.
dc.language.isoen
dc.publisherIndian Institute of Technology Bombay
dc.rightsCopyright [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.
dc.subjectcoastal engineering
dc.subjectcoastal structures
dc.subjectneural networks
dc.subjectsurface water waves
dc.titleApplication of neural networks in coastal engineering - An overview
dc.typeConference Article


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