Please use this identifier to cite or link to this item:
https://idr.l3.nitk.ac.in/jspui/handle/123456789/7377
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mandal, S. | - |
dc.contributor.author | Patil, S.G. | - |
dc.contributor.author | Manjunatha, Y.R. | - |
dc.contributor.author | Hegde, A.V. | - |
dc.date.accessioned | 2020-03-30T09:58:57Z | - |
dc.date.available | 2020-03-30T09:58:57Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | 12th International Conference on Computer Methods and Advances in Geomechanics 2008, 2008, Vol.3, , pp.1639-1645 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7377 | - |
dc.description.abstract | 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. | en_US |
dc.title | Application of Neural Networks in coastal engineering - An overview | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.