2020
DOI: 10.1007/s00773-020-00759-w
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A novel approach for motion predictions of a semi-submersible platform with neural network

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Cited by 15 publications
(1 citation statement)
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“…Bashetty and Ozcelik [15] conducted a comprehensive review of OFWT dynamics, emphasizing the diverse challenges associated with operational aspects and underscoring the necessity for precise modeling and simulation techniques to ensure the safety and efficacy of these systems. Deng et al [16] proposed a novel method employing neural networks for predicting semi-submersible platform motions, furnishing an accurate and efficient tool for platform dynamic evaluation. Rezanejad et al [17], utilizing internally coupled tools to integrate far-field nonlinear waves, applied High-Order Spectral (HOS) methods to enhance the prediction of low-frequency motion responses of OFWTs.…”
Section: Introductionmentioning
confidence: 99%
“…Bashetty and Ozcelik [15] conducted a comprehensive review of OFWT dynamics, emphasizing the diverse challenges associated with operational aspects and underscoring the necessity for precise modeling and simulation techniques to ensure the safety and efficacy of these systems. Deng et al [16] proposed a novel method employing neural networks for predicting semi-submersible platform motions, furnishing an accurate and efficient tool for platform dynamic evaluation. Rezanejad et al [17], utilizing internally coupled tools to integrate far-field nonlinear waves, applied High-Order Spectral (HOS) methods to enhance the prediction of low-frequency motion responses of OFWTs.…”
Section: Introductionmentioning
confidence: 99%