Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved QRNN-Reference-Cited by-同舟云学术

Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved QRNN

Published:2022-10 Issue: Volume:54 Page:101806
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Wei Yunyu^ORCID,Chen Zezong^ORCID,Zhao Chen,Chen Xi,Yang Rui,He Jiangheng,Zhang Chunyang,Wu Sitao

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference75 articles.

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2. Dynamic positioning with roll-pitch motion control for a semi-submersible;Xu,2013

3. D. Dumitru, Numerical investigation of a two-degrees-of-freedom ship model for pitch-roll motion, in: IOP Conference Series: Materials Science and Engineering, IOP Publishing, Vol. 145(8), 2016, p. 082007.

4. G. Cox, A. Lloyd, Hydrodynamic design basis for navy ship roll motion stabilization, 1977.

5. On the theory of potential flow about a ship advancing in waves;Noblesse;J. Ship Res.,1992

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