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Modeling of Multi-Freedom Ship Motions in Irregular Waves with Fuzzy Neural Networks
引用本文:余建星,陆培毅,高喜峰,夏锦祝. Modeling of Multi-Freedom Ship Motions in Irregular Waves with Fuzzy Neural Networks[J]. 中国海洋工程, 2003, 17(2)
作者姓名:余建星  陆培毅  高喜峰  夏锦祝
作者单位:School of Civil Engineering,Tianjin University,School of Civil Engineering,Tianjin University,School of Civil Engineering,Tianjin University,School of Civil Engineering,Tianjin University Tianjin 300072,China,Tianjin 300072,China,Tianjin 300072,China,Tianjin 300072,China
摘    要:1 .IntroductionAshiptravelingatseaundergoesundesirablewave inducedmotions ,namely ,surge ,sway ,heav ing ,rolling ,pitchingandyaw .Thesemotionsoftencauseproblemstothecrew ,theonboardequip mentand ,intheworstcase ,thesafetyofthevessel.Tominimizethewave inducedshipmotions ,controlsystemsmaybeapplied .Theaccuratemodelingofshipmotionsisthereforeveryimportantforshipdesignanddesignofmotioncontrolsystems .Manyresearchershavedevelopedshipmotionpredictionmethodsbasedonthepotentialflowtheo ries (Dong ,…


Modeling of Multi-Freedom Ship Motions in Irregular Waves with Fuzzy Neural Networks
YU Jian-xing ,LU Pei-yi GAO Xi-feng and XIA Jin-zhu School of Civil Engineering,Tianjin University,Tianjin ,China. Modeling of Multi-Freedom Ship Motions in Irregular Waves with Fuzzy Neural Networks[J]. China Ocean Engineering, 2003, 17(2)
Authors:YU Jian-xing   LU Pei-yi GAO Xi-feng   XIA Jin-zhu School of Civil Engineering  Tianjin University  Tianjin   China
Affiliation:YU Jian-xing 1,LU Pei-yi GAO Xi-feng and XIA Jin-zhu School of Civil Engineering,Tianjin University,Tianjin 300072,China
Abstract:In this paper, the neural network technology is combined with the fuzzy set theory to model the wave-induced ship motions in irregular seas. This combination makes possible the handling of a non-linear dynamic system with insufficient input information. The numerical results from the strip theory are used to train the networks and to demonstrate the validity of the proposed procedure.
Keywords:strip theory  ship motions  neural network  fuzzy logic  system modeling
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