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title

HEIGHT WAVE COASTAL PREDICTION USING BY RECURRENTNEURAL NETWORK (RNN)

Credit to Download: 0 | Page Numbers 3 | Abstract Views: 325
Year: 2014
COI code: ICOPMAS11_133
Paper Language: English

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Authors HEIGHT WAVE COASTAL PREDICTION USING BY RECURRENTNEURAL NETWORK (RNN)

  Tayeb Sadeghifar - M.Sc - Tarbiat Modares University
Massoud Torabi Azad - Associate Professor - Azad University
Mohammad Hasani - BA - Payam Nour University
Heidar Rasouli - M.Sc - Payam Nour University

Abstract:

Prediction of wave height is of great importance in marine coastal engineering. In theliterature, several approaches have been proposed to wave predictions classified as empiricalbased, soft-computing based and numerical based approaches.

Keywords:

Wave Height, Recurrent Neural Network, Correlation coefficients, South Caspian Sea

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COI code: ICOPMAS11_133

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Sadeghifar, Tayeb; Massoud Torabi Azad; Mohammad Hasani & Heidar Rasouli, 2014, HEIGHT WAVE COASTAL PREDICTION USING BY RECURRENTNEURAL NETWORK (RNN), 11th International Conference on Coasts, Ports and Marine Structures, تهران, سازمان بنادر و دريانوردي, https://www.civilica.com/Paper-ICOPMAS11-ICOPMAS11_133.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Sadeghifar, Tayeb; Massoud Torabi Azad; Mohammad Hasani & Heidar Rasouli, 2014)
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Type: state university
Paper No.: 25985
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