Real time wave forecasting using neural networks
DSpace at IIT Bombay
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Title |
Real time wave forecasting using neural networks
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Creator |
DEO, MC
NAIDU, CS |
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Subject |
prediction
wave forecasting neural networks real time forecasting training algorithms wave data analysis wave heights |
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Description |
Forecasting of ocean wave heights, with warning time of a few hours or days, is necessary in planning many operation-related activities in the ocean. Such information is currently derived by numerically solving the differential equation representing wave energy balance. The solution procedure involved is extremely complex and calls for very large amounts of meteorological and oceanographic data. This paper presents a complementary and simple method to make a point forecast of waves in real time sense based on the current observation of waves at a site. It incorporates the technique of neural networks. The network involved is first trained by different algorithms and then used to forecast waves with lead times varying from 3 to 24 h. The results of different training algorithms are compared with each other. The neural output is further compared with the statistical AR models. (C) 1998 . .
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Publisher |
PERGAMON-ELSEVIER SCIENCE LTD
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Date |
2011-08-26T06:23:09Z
2011-12-26T12:57:19Z 2011-12-27T05:47:25Z 2011-08-26T06:23:09Z 2011-12-26T12:57:19Z 2011-12-27T05:47:25Z 1999 |
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Type |
Article
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Identifier |
OCEAN ENGINEERING, 26(3), 191-203
0029-8018 http://dspace.library.iitb.ac.in/xmlui/handle/10054/11223 http://hdl.handle.net/10054/11223 |
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Language |
en
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