JP2021527258A5 - - Google Patents

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Publication number
JP2021527258A5
JP2021527258A5 JP2020568440A JP2020568440A JP2021527258A5 JP 2021527258 A5 JP2021527258 A5 JP 2021527258A5 JP 2020568440 A JP2020568440 A JP 2020568440A JP 2020568440 A JP2020568440 A JP 2020568440A JP 2021527258 A5 JP2021527258 A5 JP 2021527258A5
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JP
Japan
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data
real
neural network
network model
world
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JP2020568440A
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English (en)
Japanese (ja)
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JP2021527258A (ja
JP7129498B2 (ja
JPWO2019234505A5 (https=
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JP2020568440A 2018-06-08 2019-06-06 浮体式採油プラットフォーム、船舶及び他の浮体式システムのための、シミュレーションでトレーニングしたディープニューラルネットワークモデルの連続学習 Active JP7129498B2 (ja)

Applications Claiming Priority (3)

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.

Publications (4)

Publication Number Publication Date
JP2021527258A JP2021527258A (ja) 2021-10-11
JP2021527258A5 true JP2021527258A5 (https=) 2022-06-09
JPWO2019234505A5 JPWO2019234505A5 (https=) 2022-06-09
JP7129498B2 JP7129498B2 (ja) 2022-09-01

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JP2020568440A Active JP7129498B2 (ja) 2018-06-08 2019-06-06 浮体式採油プラットフォーム、船舶及び他の浮体式システムのための、シミュレーションでトレーニングしたディープニューラルネットワークモデルの連続学習

Country Status (8)

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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=)

Families Citing this family (6)

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Publication number Priority date Publication date Assignee Title
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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Publication number Priority date Publication date Assignee Title
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
US5920852A (en) 1996-04-30 1999-07-06 Grannet Corporation Large memory storage and retrieval (LAMSTAR) network
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
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
US10372976B2 (en) * 2016-05-05 2019-08-06 Brunswick Corporation Person detection in a marine environment
US10521677B2 (en) * 2016-07-14 2019-12-31 Ford Global Technologies, Llc Virtual sensor-data-generation system and method supporting development of vision-based rain-detection algorithms
CA3069299C (en) * 2017-08-21 2023-03-14 Landmark Graphics Corporation Neural network models for real-time optimization of drilling parameters during drilling operations
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
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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