Artificial Neural Networks for the analysis of spread⿿mooring configurations for floating production systems
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- 作者：Aline Aparecida de Pina aline@lamcso.coppe.ufrj.br" class="auth_mail" title="E-mail the corresponding author ; Bruno da Fonseca Monteiro brunomonteiro@lamcso.coppe.ufrj.br" class="auth_mail" title="E-mail the corresponding author ; Carl Horst Albrecht carl@lamcso.coppe.ufrj.br" class="auth_mail" title="E-mail the corresponding author ; Beatriz Souza Leite Pires de Lima bia@coc.ufrj.br" class="auth_mail" title="E-mail the corresponding author ; Breno Pinheiro Jacob ; breno@lamcso.coppe.ufrj.br" class="auth_mail" title="E-mail the corresponding author
- 关键词：Floating production systems ; Mooring systems ; Meta-models ; Surrogate models ; Artificial Neural Networks
- 刊名：Applied Ocean Research
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：59
- 期：Complete
- 页码：254-264
- 全文大小：2158 K
文摘
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ANN meta-models for preliminary design stages of FPS are presented.
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They analyze arbitrarily defined asymmetrical spread-mooring configurations.
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Performance assessed by application to a FPS for actual deepwater scenario.
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ANNs provide fairly accurate values for the parameters of the mooring response.
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