JPWO2023032637A1 - - Google Patents
Info
- Publication number
- JPWO2023032637A1 JPWO2023032637A1 JP2023545410A JP2023545410A JPWO2023032637A1 JP WO2023032637 A1 JPWO2023032637 A1 JP WO2023032637A1 JP 2023545410 A JP2023545410 A JP 2023545410A JP 2023545410 A JP2023545410 A JP 2023545410A JP WO2023032637 A1 JPWO2023032637 A1 JP WO2023032637A1
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
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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
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
-
- 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
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- 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
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- 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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- 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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
-
- G—PHYSICS
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Automation & Control Theory (AREA)
- Container, Conveyance, Adherence, Positioning, Of Wafer (AREA)
- Image Analysis (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2021141750 | 2021-08-31 | ||
| PCT/JP2022/030708 WO2023032637A1 (ja) | 2021-08-31 | 2022-08-12 | 情報処理方法、情報処理装置、及び情報処理システム |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPWO2023032637A1 true JPWO2023032637A1 (https=) | 2023-03-09 |
| JPWO2023032637A5 JPWO2023032637A5 (https=) | 2024-05-23 |
Family
ID=85412226
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023545410A Pending JPWO2023032637A1 (https=) | 2021-08-31 | 2022-08-12 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20240202607A1 (https=) |
| JP (1) | JPWO2023032637A1 (https=) |
| KR (1) | KR20240058131A (https=) |
| CN (1) | CN117897711A (https=) |
| TW (1) | TW202314420A (https=) |
| WO (1) | WO2023032637A1 (https=) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2026048631A1 (ja) * | 2024-09-02 | 2026-03-05 | 東京エレクトロン株式会社 | 情報処理方法、情報処理装置及び基板処理システム |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6214922B2 (ja) * | 2013-05-20 | 2017-10-18 | 日本電信電話株式会社 | 情報処理装置、情報処理システム、情報処理方法、および学習プログラム |
| JP6720402B2 (ja) | 2017-03-21 | 2020-07-08 | 株式会社Ｐｒｅｆｅｒｒｅｄ Ｎｅｔｗｏｒｋｓ | サーバ装置、学習済モデル提供プログラム、学習済モデル提供方法及び学習済モデル提供システム |
| JP6689507B2 (ja) | 2018-02-20 | 2020-04-28 | 株式会社Ａｂｅｊａ | 情報処理システム |
| JP7007244B2 (ja) * | 2018-07-09 | 2022-01-24 | 株式会社シマノ | 作成装置、コンポーネント制御装置、作成方法、コンポーネント制御方法、コンピュータプログラムおよび学習モデル |
| EP4073714A1 (en) * | 2019-12-13 | 2022-10-19 | Qualcomm Technologies, Inc. | Federated mixture models |
-
2022
- 2022-08-12 JP JP2023545410A patent/JPWO2023032637A1/ja active Pending
- 2022-08-12 KR KR1020247010659A patent/KR20240058131A/ko active Pending
- 2022-08-12 CN CN202280058383.0A patent/CN117897711A/zh active Pending
- 2022-08-12 WO PCT/JP2022/030708 patent/WO2023032637A1/ja not_active Ceased
- 2022-08-17 TW TW111130908A patent/TW202314420A/zh unknown
-
2024
- 2024-02-28 US US18/589,947 patent/US20240202607A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| KR20240058131A (ko) | 2024-05-03 |
| WO2023032637A1 (ja) | 2023-03-09 |
| CN117897711A (zh) | 2024-04-16 |
| TW202314420A (zh) | 2023-04-01 |
| US20240202607A1 (en) | 2024-06-20 |
Similar Documents
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20240226 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20250512 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20260428 |