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

27 May 2021

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

7 / 7 papers shown

Title
Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states J. Ferrandis M. Triantafyllou C. Chryssostomidis George Karniadakis 51 62 0 23 Dec 2019
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 187 1,650 0 16 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 829 9,318 0 06 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 437 20,568 0 10 Sep 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,354 0 03 Jun 2014
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 196 5,353 0 21 Nov 2012