JPWO2021220450A1 - - Google Patents
Info
- Publication number
- JPWO2021220450A1 JPWO2021220450A1 JP2022518529A JP2022518529A JPWO2021220450A1 JP WO2021220450 A1 JPWO2021220450 A1 JP WO2021220450A1 JP 2022518529 A JP2022518529 A JP 2022518529A JP 2022518529 A JP2022518529 A JP 2022518529A JP WO2021220450 A1 JPWO2021220450 A1 JP WO2021220450A1
- 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
-
- 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
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- 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
- G06N3/044—Recurrent networks, e.g. Hopfield 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
- G06N3/044—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]
-
- 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
- G06N3/09—Supervised learning
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2020/018236 WO2021220450A1 (ja) | 2020-04-30 | 2020-04-30 | 識別装置、識別方法及び記録媒体 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021220450A1 true JPWO2021220450A1 (https=) | 2021-11-04 |
| JPWO2021220450A5 JPWO2021220450A5 (https=) | 2023-01-23 |
| JP7464114B2 JP7464114B2 (ja) | 2024-04-09 |
Family
ID=78331882
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022518529A Active JP7464114B2 (ja) | 2020-04-30 | 2020-04-30 | 識別装置、識別方法及び記録媒体 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20220245519A1 (https=) |
| JP (1) | JP7464114B2 (https=) |
| WO (1) | WO2021220450A1 (https=) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12367387B2 (en) * | 2020-06-05 | 2025-07-22 | Deepmind Technologies Limited | Neural network optimization using curvature estimates based on recent gradients |
| WO2025069242A1 (ja) * | 2023-09-27 | 2025-04-03 | 日本電気株式会社 | 情報処理装置、情報処理方法、及び記録媒体 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019049688A1 (ja) * | 2017-09-06 | 2019-03-14 | 日本電信電話株式会社 | 異常音検知装置、異常モデル学習装置、異常検知装置、異常音検知方法、異常音生成装置、異常データ生成装置、異常音生成方法、およびプログラム |
| US20190095799A1 (en) * | 2017-08-18 | 2019-03-28 | University Of Southern California | Optimally stopped optimization systems and methods |
| JP2019164618A (ja) * | 2018-03-20 | 2019-09-26 | 株式会社東芝 | 信号処理装置、信号処理方法およびプログラム |
-
2020
- 2020-04-30 US US17/617,659 patent/US20220245519A1/en active Pending
- 2020-04-30 WO PCT/JP2020/018236 patent/WO2021220450A1/ja not_active Ceased
- 2020-04-30 JP JP2022518529A patent/JP7464114B2/ja active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190095799A1 (en) * | 2017-08-18 | 2019-03-28 | University Of Southern California | Optimally stopped optimization systems and methods |
| WO2019049688A1 (ja) * | 2017-09-06 | 2019-03-14 | 日本電信電話株式会社 | 異常音検知装置、異常モデル学習装置、異常検知装置、異常音検知方法、異常音生成装置、異常データ生成装置、異常音生成方法、およびプログラム |
| JP2019164618A (ja) * | 2018-03-20 | 2019-09-26 | 株式会社東芝 | 信号処理装置、信号処理方法およびプログラム |
Non-Patent Citations (2)
| Title |
|---|
| RUSSWURM, M., ET AL., END-TO-END LEARNING FOR EARLY CLASSIFICATION OF TIME SERIES.[ONLINE], JPN6020037738, 30 January 2019 (2019-01-30), ISSN: 0005217560 * |
| WANG, W., ET AL., EARLINESS-AWARE DEEP CONVOLUTIONAL NETWORKS FOR EARLY TIME SERIES CLASSIFICATION. [ONLINE], JPN6020037737, 14 November 2016 (2016-11-14), ISSN: 0005217559 * |
Also Published As
| Publication number | Publication date |
|---|---|
| US20220245519A1 (en) | 2022-08-04 |
| JP7464114B2 (ja) | 2024-04-09 |
| WO2021220450A1 (ja) | 2021-11-04 |
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