JPWO2021149528A1 - - Google Patents
Info
- Publication number
- JPWO2021149528A1 JPWO2021149528A1 JP2021573071A JP2021573071A JPWO2021149528A1 JP WO2021149528 A1 JPWO2021149528 A1 JP WO2021149528A1 JP 2021573071 A JP2021573071 A JP 2021573071A JP 2021573071 A JP2021573071 A JP 2021573071A JP WO2021149528 A1 JPWO2021149528 A1 JP WO2021149528A1
- Authority
- JP
- Japan
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06N3/047—Probabilistic or stochastic networks
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06N3/044—Recurrent networks, e.g. Hopfield networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06N3/044—Recurrent networks, e.g. Hopfield networks
- G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06N3/09—Supervised learning
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Automation & Control Theory (AREA)
- Algebra (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2020008388 | 2020-01-22 | ||
JP2020008388 | 2020-01-22 | ||
PCT/JP2021/000606 WO2021149528A1 (ja) | 2020-01-22 | 2021-01-12 | イベント予測システム、イベント予測方法およびプログラム |
Publications (3)
Publication Number | Publication Date |
---|---|
JPWO2021149528A1 true JPWO2021149528A1 (ja) | 2021-07-29 |
JPWO2021149528A5 JPWO2021149528A5 (ja) | 2022-08-17 |
JP7440938B2 JP7440938B2 (ja) | 2024-02-29 |
Family
ID=76992209
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2021573071A Active JP7440938B2 (ja) | 2020-01-22 | 2021-01-12 | イベント予測システム、イベント予測方法およびプログラム |
Country Status (3)
Country | Link |
---|---|
US (1) | US20230058585A1 (ja) |
JP (1) | JP7440938B2 (ja) |
WO (1) | WO2021149528A1 (ja) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20220284277A1 (en) * | 2021-02-25 | 2022-09-08 | International Business Machines Corporation | Network of tensor time series |
WO2023149236A1 (ja) * | 2022-02-04 | 2023-08-10 | 国立大学法人大阪大学 | 学習装置、予測装置、学習方法、予測方法、学習プログラム及び予測プログラム |
CN117493068B (zh) * | 2024-01-03 | 2024-03-26 | 安徽思高智能科技有限公司 | 一种微服务系统根因定位方法、设备及存储介质 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005251185A (ja) * | 2004-02-05 | 2005-09-15 | Toenec Corp | 電気設備診断システム |
JP2017016509A (ja) * | 2015-07-03 | 2017-01-19 | 横河電機株式会社 | 設備保全管理システムおよび設備保全管理方法 |
WO2018012487A1 (ja) * | 2016-07-12 | 2018-01-18 | 国立大学法人熊本大学 | 予測装置、パラメータ集合生産方法及びプログラム |
JP2019003389A (ja) * | 2017-06-15 | 2019-01-10 | 株式会社 日立産業制御ソリューションズ | 異常診断装置、異常診断方法及び異常診断プログラム |
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2021
- 2021-01-12 WO PCT/JP2021/000606 patent/WO2021149528A1/ja active Application Filing
- 2021-01-12 US US17/793,388 patent/US20230058585A1/en active Pending
- 2021-01-12 JP JP2021573071A patent/JP7440938B2/ja active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005251185A (ja) * | 2004-02-05 | 2005-09-15 | Toenec Corp | 電気設備診断システム |
JP2017016509A (ja) * | 2015-07-03 | 2017-01-19 | 横河電機株式会社 | 設備保全管理システムおよび設備保全管理方法 |
WO2018012487A1 (ja) * | 2016-07-12 | 2018-01-18 | 国立大学法人熊本大学 | 予測装置、パラメータ集合生産方法及びプログラム |
JP2019003389A (ja) * | 2017-06-15 | 2019-01-10 | 株式会社 日立産業制御ソリューションズ | 異常診断装置、異常診断方法及び異常診断プログラム |
Non-Patent Citations (2)
Title |
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入船恭彰ほか: "弱ラベルを用いた時系列データへの詳細ラベル付与", 第11回データ工学と情報マネジメントに関するフォーラム (第17回日本データベース学会年次大会) [, JPN7021000842, 6 March 2019 (2019-03-06), ISSN: 0005114273 * |
山室冴ほか: "深層学習を用いた時系列データの要約と分類", 第10回データ工学と情報マネジメントに関するフォーラム (第16回日本データベース学会年次大会) [, JPN7021000843, 6 March 2018 (2018-03-06), ISSN: 0005114274 * |
Also Published As
Publication number | Publication date |
---|---|
WO2021149528A1 (ja) | 2021-07-29 |
JP7440938B2 (ja) | 2024-02-29 |
US20230058585A1 (en) | 2023-02-23 |
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