Application of a convolutional neural network for mooring failure identification
Author:
Funder
Australian Research Council
Publisher
Elsevier BV
Subject
Ocean Engineering,Environmental Engineering
Reference43 articles.
1. Expert elicitation of directional metocean parameters;Astfalck;Ocean Eng.,2018
2. Emulation of vessel motion simulators for computationally efficient uncertainty quantification;Astfalck;Ocean Eng.,2019
3. A Bayesian approach to the quantification of extremal responses in simulated dynamic structures;Astfalck;Ocean Eng.,2019
4. Performance changes of a floating offshore wind turbine with broken mooring line;Bae;Renew. Energy,2017
5. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012
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