On neural network identification for low-speed ship maneuvering model
On neural network identification for low-speed ship maneuvering model
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Publisher
Tokyo: Springer Japan
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Language
English
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Publisher
Tokyo: Springer Japan
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Scope and Contents
Contents
Several studies on ship maneuvering models have been conducted using captive model tests or computational fluid dynamics (CFD) and physical models, such as the maneuvering modeling group (MMG) model. A new system identification method for generating a low-speed maneuvering model using recurrent neural networks (RNNs) and free running model tests is...
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Full title
On neural network identification for low-speed ship maneuvering model
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TN_cdi_proquest_journals_2637579479
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2637579479
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ISSN
0948-4280
E-ISSN
1437-8213
DOI
10.1007/s00773-021-00867-1
