Standardization in building an ANN-based mooring line top tension prediction system-Reference-Cited by-同舟云学术

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Standardization in building an ANN-based mooring line top tension prediction system

Published:2022 Issue: Volume:14 Page:100421
ISSN:2092-6782
Container-title:International Journal of Naval Architecture and Ocean Engineering
language:en
Short-container-title:International Journal of Naval Architecture and Ocean Engineering

Author:

Lee Daesoo,Lee Seungjae^ORCID,Lee Jaeyong^ORCID

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Ocean Engineering,Control and Systems Engineering

Reference14 articles.

1. Efficient mooring line fatigue analysis using a hybrid method time domain simulation scheme;Christiansen,2013

2. The use of NARX neural networks to predict chaotic time series;Diaconescu;WSEAS Trans. Comput. Res.,2008

3. Class Guideline (DNVGL-CG-0130): Wave Loads;DNV-GL,2018

4. Neural networks in the dynamic response analysis of slender marine structures;Guarize;Appl. Ocean Res.,2007

5. Batch normalization: accelerating deep network training by reducing internal covariate shift;Ioffe,2015

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep neural operators can predict the real-time response of floating offshore structures under irregular waves;Computers & Structures;2024-01

2. Design of Experiments Technique Applied to Artificial Neural Network Models for FPSO Mooring System Analysis;Journal of Marine Science and Engineering;2023-11-17

3. A novel hybrid approach to mooring tension prediction for semi-submersible offshore platforms;Ocean Engineering;2023-11

4. Fatigue damage prediction of top tensioned riser subjected to vortex-induced vibrations using artificial neural networks;Ocean Engineering;2023-01

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