Real Time Wave Prediction Using Neural Networks at Karwar, West Coast of India

Deepthi I Gopinath and Dwarakish Gs
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Deepthi I Gopinath: Rajagiri School of Engineering and Technology, APJ Abdul Kalam Technological University, India
Dwarakish Gs: National Institute of Technology Karnataka, India

Oceanography & Fisheries Open Access Journal, 2018, vol. 6, issue 1, 48-56

Abstract: The knowledge of ocean waves is an essential prerequisite for almost all activities in ocean. Traditional methods have disadvantages of excessive data requirement, time consumption and are tedious to carry out. ANN is being widely applied in coastal engineering field since last two decades in variety of time series forecasting. Study has been carried out to predict waves using FFBP and NARX networks. Wave data obtained from INCOIS is made use in the present study. Effect of network architecture on the performance of the model has been studied. It was found that for time series prediction NARX network outperforms FFBP.

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Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jofoaj:v:6:y:2018:i:1:p:48-56

DOI: 10.19080/OFOAJ.2018.06.555683

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