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Data-Driven System Identification of 6-DoF Ship Motion in Waves with
  Neural Networks

Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks

2 November 2021
K. Silva
K. Maki
ArXivPDFHTML

Papers citing "Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks"

4 / 4 papers shown
Title
Interpretable Data-Driven Ship Dynamics Model: Enhancing Physics-Based Motion Prediction with Parameter Optimization
Interpretable Data-Driven Ship Dynamics Model: Enhancing Physics-Based Motion Prediction with Parameter Optimization
Papandreou Christos
Mathioudakis Michail
Stouraitis Theodoros
Iatropoulos Petros
Nikitakis Antonios
Stavros Paschalakis
Kemal Kurniawan
34
0
0
25 Feb 2025
Predicting Ship Responses in Different Seaways using a Generalizable
  Force Correcting Machine Learning Method
Predicting Ship Responses in Different Seaways using a Generalizable Force Correcting Machine Learning Method
K. Marlantes
P. Bandyk
Kevin J. Maki
19
3
0
13 May 2024
Implementation of the Critical Wave Groups Method with Computational
  Fluid Dynamics and Neural Networks
Implementation of the Critical Wave Groups Method with Computational Fluid Dynamics and Neural Networks
K. Silva
K. Maki
21
3
0
24 Jan 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1