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C-P. Tsai*, J-N. Shen* and T. Kerh+

*Department of Civil Engineering, National Chung-Hsing University, Taichung, Taiwan
+Department of Civil Engineering, National Pintung, University of Science and Technology, Pingtung, Taiwan

doi:10.4203/ccp.62.5.3

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C-P. Tsai, J-N. Shen, T. Kerh, "Wave Forecasting using Neural Network Model", in B. Kumar, B.H.V. Topping, (Editors), "Artificial Intelligence Applications in Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 125-130, 1999. doi:10.4203/ccp.62.5.3

Abstract

This paper reports an application of the artificial neural network for accurate forecast of ocean wave heights. The back-propagation procedure for minimizing the error of the desired output is used in the learning process of the neural network. This paper presents the wave forecast of a site based on the observed wave data of the other sites. The field wave data measured in three local sites at Taichung Harbor of Taiwan were used to test the performance of the neural network model. Results show that the neural network model performs well for the wave forecast when short-term wave data are used as a training set. It is also found that the wave forecast of a local site has a better performance when wave data of multi-site observations are used.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 62 ARTIFICIAL INTELLIGENCE APPLICATIONS IN CIVIL AND STRUCTURAL ENGINEERING Edited by: B. Kumar and B.H.V. Topping Paper V.3 Wave Forecasting using Neural Network Model C-P. Tsai, J-N. Shen and T. Kerh+ *Department of Civil Engineering, National Chung-Hsing University, Taichung, Taiwan +Department of Civil Engineering, National Pintung, University of Science and Technology, Pingtung, Taiwan doi:10.4203/ccp.62.5.3 purchase the full-text of this paper Full Bibliographic Reference for this paper C-P. Tsai, J-N. Shen, T. Kerh, "Wave Forecasting using Neural Network Model", in B. Kumar, B.H.V. Topping, (Editors), "Artificial Intelligence Applications in Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 125-130, 1999. doi:10.4203/ccp.62.5.3 Abstract This paper reports an application of the artificial neural network for accurate forecast of ocean wave heights. The back-propagation procedure for minimizing the error of the desired output is used in the learning process of the neural network. This paper presents the wave forecast of a site based on the observed wave data of the other sites. The field wave data measured in three local sites at Taichung Harbor of Taiwan were used to test the performance of the neural network model. Results show that the neural network model performs well for the wave forecast when short-term wave data are used as a training set. It is also found that the wave forecast of a local site has a better performance when wave data of multi-site observations are used. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £50 +P&P)
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