Hybrid method for estimating wind loads on ships based on elliptic Fourier analysis and radial basis neural networks
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- 作者：Marko Valčića ; mvalcic@pfri.hr" class="auth_mail" title="E-mail the corresponding author ; Jasna Prpić-Or&scaron ; ićb
- 关键词：Ships ; Wind loads ; Elliptic Fourier analysis ; Radial basis neural network
- 刊名：Ocean Engineering
- 出版年：2016
- 出版时间：1 August 2016
- 年：2016
- 卷：122
- 期：Complete
- 页码：227-240
- 全文大小：2273 K
文摘
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A novel wind load estimation method was developed.
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A hybrid model based on elliptic Fourier descriptors (EFD) and generalized regression neural network (GRNN) was proposed.
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EFD were used for description of frontal and lateral ship profile and training of GRNN.
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Proposed approach takes into account all aspects of the variability of the above water frontal and lateral ship profile.