Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Christoph Rasewsky"'
Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model
Autor:
Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Karoline Moenster, Thomas E. Schellin, Ould EL Moctar, Christoph Rasewsky, Angelo Ciaramella
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 10, p 1854 (2023)
The authors proposed a direct comparison between white- and black-box models to predict the engine brake power of a 15,000 TEU (twenty-foot equivalent unit) containership. A Simplified Naval Architecture Method (SNAM), based on limited operational da
Externí odkaz:
https://doaj.org/article/86d4fb508f8c42afad9a38d5493bbe8b
