CN112424063B - 用于浮动生产平台、船舶和其他浮动系统的经过模拟训练的深度神经网络模型的持续学习 - Google Patents

用于浮动生产平台、船舶和其他浮动系统的经过模拟训练的深度神经网络模型的持续学习 Download PDF

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CN112424063B
CN112424063B CN201980047590.4A CN201980047590A CN112424063B CN 112424063 B CN112424063 B CN 112424063B CN 201980047590 A CN201980047590 A CN 201980047590A CN 112424063 B CN112424063 B CN 112424063B
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CN112424063A (zh
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J.F.奥沙利文
D.E.西达塔
H.J.利姆
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    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B21/00—Tying-up; Shifting, towing, or pushing equipment; Anchoring
    • B63B21/50—Anchoring arrangements or methods for special vessels, e.g. for floating drilling platforms or dredgers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
    • B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING 
    • B63B71/00—Designing vessels; Predicting their performance
    • B63B71/10—Designing vessels; Predicting their performance using computer simulation, e.g. finite element method [FEM] or computational fluid dynamics [CFD]
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/02—Neural networks

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CN201980047590.4A 2018-06-08 2019-06-06 用于浮动生产平台、船舶和其他浮动系统的经过模拟训练的深度神经网络模型的持续学习 Active CN112424063B (zh)

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Application Number Priority Date Filing Date Title
US16/003,443 US11315015B2 (en) 2018-06-08 2018-06-08 Continuous learning of simulation trained deep neural network model
US16/003,443 2018-06-08
PCT/IB2019/000748 WO2019234505A1 (en) 2018-06-08 2019-06-06 Continuous learning of simulation trained deep neural network model for floating production platforms, vessels and other floating systems.

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CN112424063A CN112424063A (zh) 2021-02-26
CN112424063B true CN112424063B (zh) 2023-12-22

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US (1) US11315015B2 (https=)
EP (1) EP3802310B1 (https=)
JP (1) JP7129498B2 (https=)
KR (1) KR102809829B1 (https=)
CN (1) CN112424063B (https=)
BR (1) BR112020024951A2 (https=)
MY (1) MY204803A (https=)
WO (1) WO2019234505A1 (https=)

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US12275146B2 (en) * 2019-04-01 2025-04-15 Nvidia Corporation Simulation of tasks using neural networks
CN113711179A (zh) * 2019-04-09 2021-11-26 索尼集团公司 信息处理设备、信息处理方法和程序
JP2023512591A (ja) * 2020-02-07 2023-03-27 シングル・ブイ・ムアリングズ・インコーポレイテッド データ転送システムを備えた係留ブイ
WO2022000430A1 (zh) * 2020-07-02 2022-01-06 深圳市欢太科技有限公司 服务器威胁评定方法及相关产品
CN113541126B (zh) * 2021-06-17 2025-03-25 国网湖南综合能源服务有限公司 适用于验证高级算法的配电网仿真系统及算法验证方法
US11614075B2 (en) * 2021-08-09 2023-03-28 Technip Energies France Method of monitoring and advising for a group of offshore floating wind platforms

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CN1121607A (zh) * 1994-10-28 1996-05-01 中国船舶工业总公司第七研究院第七○二研究所 船舶动力定位的神经网络控制系统及其方法
US6376831B1 (en) * 2000-02-24 2002-04-23 The United States Of America As Represented By The Secretary Of The Navy Neural network system for estimating conditions on submerged surfaces of seawater vessels
EP3242248A1 (en) * 2016-05-05 2017-11-08 Brunswick Corporation Person detection in a marine environment
CN107545250A (zh) * 2017-08-31 2018-01-05 哈尔滨工程大学 一种基于海浪图像遥感和人工智能的海洋浮体运动实时预报系统
CN107622527A (zh) * 2016-07-14 2018-01-23 福特全球技术公司 支持开发基于视觉的雨水检测算法的虚拟传感器数据生成系统和方法

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JP2003022134A (ja) 2001-07-06 2003-01-24 Mitsubishi Heavy Ind Ltd 浮体位置制御システム及び浮体位置制御シミュレータ
US8756047B2 (en) 2010-09-27 2014-06-17 Sureshchandra B Patel Method of artificial nueral network loadflow computation for electrical power system
US20140063061A1 (en) * 2011-08-26 2014-03-06 Reincloud Corporation Determining a position of an item in a virtual augmented space
KR101518720B1 (ko) * 2015-02-15 2015-05-08 (주)부품디비 해양자원 생산장비의 예지보전을 위한 고장유형관리 장치 및 방법
CA3069299C (en) * 2017-08-21 2023-03-14 Landmark Graphics Corporation Neural network models for real-time optimization of drilling parameters during drilling operations
US10800040B1 (en) * 2017-12-14 2020-10-13 Amazon Technologies, Inc. Simulation-real world feedback loop for learning robotic control policies

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CN1121607A (zh) * 1994-10-28 1996-05-01 中国船舶工业总公司第七研究院第七○二研究所 船舶动力定位的神经网络控制系统及其方法
US6376831B1 (en) * 2000-02-24 2002-04-23 The United States Of America As Represented By The Secretary Of The Navy Neural network system for estimating conditions on submerged surfaces of seawater vessels
EP3242248A1 (en) * 2016-05-05 2017-11-08 Brunswick Corporation Person detection in a marine environment
CN107622527A (zh) * 2016-07-14 2018-01-23 福特全球技术公司 支持开发基于视觉的雨水检测算法的虚拟传感器数据生成系统和方法
CN107545250A (zh) * 2017-08-31 2018-01-05 哈尔滨工程大学 一种基于海浪图像遥感和人工智能的海洋浮体运动实时预报系统

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KR20210019006A (ko) 2021-02-19
JP2021527258A (ja) 2021-10-11
US20190378005A1 (en) 2019-12-12
MY204803A (en) 2024-09-14
WO2019234505A1 (en) 2019-12-12
EP3802310A1 (en) 2021-04-14
JP7129498B2 (ja) 2022-09-01
KR102809829B1 (ko) 2025-05-16
BR112020024951A2 (pt) 2021-03-09
EP3802310B1 (en) 2024-09-04
CN112424063A (zh) 2021-02-26
US11315015B2 (en) 2022-04-26

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