DRS

DRS at National Institute Of Oceanography >
Institute's contributions >
Engineering & Instrumentation >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2264/1332

Title: Hindcasting cyclonic waves using neural networks
Authors: Mandal, S.
Rao, S.
Chakravarty, N.V.
Citation: Proceedings of International Conference on Ship and Ocean Technology (SHOT)-2002. 18-20 December 2002. (Int. Conf. on Ship and Ocean Technology (SHOT)-2002; 18-20 Dec 2002). ; 2002; 9 pp.
Issue Date: 2002
Publisher: KREC, Surathkal
Abstract: Cyclone generated waves play a significant role in the design of coastal and offshore structures. Instead of conventional numerical models, neural network approach is used in the present study to estimate the wave parameters from cyclone generated wind fields. Eleven cyclones, which crossed the southern east coast of India between 1962 to 1979 are considered for analysis in this paper. The parametric hurricane wave prediction model by Young (1988) is used for hindcasting the wave heights and periods. Estimation of wave heights and periods is carried out using backpropagation neural network with three updated algorithms, namely Rprop, Quickprop and superSAB. In neural network the difference between central and peripheral pressure, radius of maximum wind and speed of forward motion of cyclone are given as input nodes and the wave heights and periods are output nodes. The estimated values using neural networks match well with those estimated using Young's model and a highest correlation is obtained (0.99).
Document type: Conference Article
URI: http://hdl.handle.net/2264/1332
Appears in Collections:Engineering & Instrumentation

Files in This Item:

File Description SizeFormat
SHOT_2002_1_3.pdf170.39 kBAdobe PDFView/Open
Restrict Access. You can Request a copy!

Items in DRS are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

DRS is a service of NIO library (NICMAS) | | Feedback: satya at nio.org

DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard | | Compliant to OAI-PMH V 2.0