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Analysis of Key Parameters in Nearshore Current Using Artificial Neural Networks

Credit to Download: 1 | Page Numbers 5 | Abstract Views: 2280
Year: 2006
COI code: ICOPMAS07_114
Paper Language: English

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Authors Analysis of Key Parameters in Nearshore Current Using Artificial Neural Networks

  Abbass Yeganeh Bakhtiary - Department of Civil Engineering, Iran University of Science & Technology, Tehran, Narmak, Iran
  Majid Zeinali - Department of Civil Engineering, Iran University of Science & Technology, Tehran, Narmak, Iran
  Reza Valipour - Department of Civil Engineering, Iran University of Science & Technology, Tehran, Narmak, Iran
Tarkao Yamashita - RCDE, Disaster Prevention Research Institute (DPRI), Kyoto University, Kyoto, Japan

Abstract:

Design of port and harbor facilities highly depends on the nearshore hydrodynamics. Usually, the significant wave characteristics along with the most severe condition of the nearshore currents based on the field measurements is considered for the design purpose. On the other hand, optimal measurement cost and accurate numerical estimation depends on some key parameters of current velocity. The main objective of present paper is to describe an approach to more accurate and effective prediction of current velocity through key parameterization of observed data based on Root Mean Square (RMS). The procedure has significantly improved by using artificial neural networks due to ANN's capability in high functioning with rapid computation to solve the high nonlinearity and multi-variables systems.

Keywords:

Artificial Neural Network (ANN), Feed Forward (FF), Root Mean Square (RMS)

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COI code: ICOPMAS07_114

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Yeganeh Bakhtiary, Abbass; Majid Zeinali; Reza Valipour & Tarkao Yamashita, 2006, Analysis of Key Parameters in Nearshore Current Using Artificial Neural Networks, 07th International Conference on Coasts, Ports and Marine Structures, تهران, سازمان بنادر و كشتي راني, https://www.civilica.com/Paper-ICOPMAS07-ICOPMAS07_114.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: (Yeganeh Bakhtiary, Abbass; Majid Zeinali; Reza Valipour & Tarkao Yamashita, 2006)
Second and more: (Yeganeh Bakhtiary; Zeinali; Valipour & Yamashita, 2006)
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Type: state university
Paper No.: 20504
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