Data mining in sloshing experiment database and application of neural network for extreme load prediction-Reference-Cited by-同舟云学术

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Data mining in sloshing experiment database and application of neural network for extreme load prediction

Published:2021-11 Issue: Volume:80 Page:103074
ISSN:0951-8339
Container-title:Marine Structures
language:en
Short-container-title:Marine Structures

Author:

Ahn Yangjun,Kim Yonghwan

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Ocean Engineering,General Materials Science

Reference47 articles.

1. Sloshing;Faltinsen,2009

2. Sloshing assessment of the LNG floating units with membrane type containment system where we are?;Malenica;Mar Struct,2017

3. BP statistical review of world energy;Bp Statistical Review of World Energy,2018

4. LNG tank sloshing assessment methodology-the new generation;Kuo;Int J Offshore Polar Eng,2009

5. LNG as a maritime fuel: prospects and policy;Parfomak,2019

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1. Reducing CO2 Emissions through the Strategic Optimization of a Bulk Carrier Fleet for Loading and Transporting Polymetallic Nodules from the Clarion-Clipperton Zone;Energies;2024-07-10

2. Prediction of sloshing pressure using image-based deep learning;Ocean Engineering;2024-07

3. SNNTool: A software tool for sampling neural networks algorithms implementation;SoftwareX;2023-12

4. Comparative assessment of liquid sloshing in dry and wet storage tank of floating offshore platform;Marine Structures;2023-07

5. Radial compression pressure estimation of carcass layers in unbonded flexible pipes based on neural networks;Ocean Engineering;2023-07

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