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Recurrent-type Neural Networks for Real-time Short-term Prediction of
  Ship Motions in High Sea State

Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State

27 May 2021
D. D’Agostino
A. Serani
F. Stern
Matteo Diez
ArXivPDFHTML

Papers citing "Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State"

3 / 3 papers shown
Title
A Data Driven Method for Multi-step Prediction of Ship Roll Motion in
  High Sea States
A Data Driven Method for Multi-step Prediction of Ship Roll Motion in High Sea States
Dan Zhang
Xi Zhou
Zihao Wang
Yan Peng
Shaorong Xie
14
27
0
26 Jul 2022
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
K. Silva
K. Maki
19
52
0
02 Nov 2021
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