JPWO2022123781A1 - - Google Patents
Info
- Publication number
- JPWO2022123781A1 JPWO2022123781A1 JP2022568020A JP2022568020A JPWO2022123781A1 JP WO2022123781 A1 JPWO2022123781 A1 JP WO2022123781A1 JP 2022568020 A JP2022568020 A JP 2022568020A JP 2022568020 A JP2022568020 A JP 2022568020A JP WO2022123781 A1 JPWO2022123781 A1 JP WO2022123781A1
- 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
- G06N3/04—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
- G06N3/049—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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0499—Feedforward 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
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
-
- 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)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Neurology (AREA)
- Feedback Control In General (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2020/046331 WO2022123781A1 (ja) | 2020-12-11 | 2020-12-11 | ニューラルネットワーク装置、生成装置、情報処理方法、生成方法および記録媒体 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2022123781A1 true JPWO2022123781A1 (enExample) | 2022-06-16 |
| JPWO2022123781A5 JPWO2022123781A5 (ja) | 2023-08-18 |
| JP7540509B2 JP7540509B2 (ja) | 2024-08-27 |
Family
ID=81974287
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022568020A Active JP7540509B2 (ja) | 2020-12-11 | 2020-12-11 | ニューラルネットワーク装置、生成装置、情報処理方法、生成方法およびプログラム |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20240070443A1 (enExample) |
| JP (1) | JP7540509B2 (enExample) |
| WO (1) | WO2022123781A1 (enExample) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119109455A (zh) * | 2024-08-30 | 2024-12-10 | 合肥工业大学 | 一种蚁群优化时延神经网络的流水线adc后台校准方法 |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116056285B (zh) * | 2023-03-23 | 2023-06-23 | 浙江芯源交通电子有限公司 | 一种基于神经元电路的信号灯控制系统及电子设备 |
| EP4614475A1 (en) * | 2024-03-05 | 2025-09-10 | IMRA Europe S.A.S. | Child presence detection |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010146514A (ja) * | 2008-12-22 | 2010-07-01 | Sharp Corp | 情報処理装置及びこれを用いたニューラルネットワーク回路 |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4392089B2 (ja) * | 1999-05-27 | 2009-12-24 | 株式会社デンソー | ニューロン、当該ニューロンを用いて構成された階層型ニューラルネットワーク及び当該ニューロン内部での乗算処理に用いられる乗算回路 |
| WO2018168580A1 (ja) * | 2017-03-13 | 2018-09-20 | 日本電気株式会社 | 関係性探索システム、情報処理装置、方法およびプログラム |
-
2020
- 2020-12-11 JP JP2022568020A patent/JP7540509B2/ja active Active
- 2020-12-11 WO PCT/JP2020/046331 patent/WO2022123781A1/ja not_active Ceased
- 2020-12-11 US US18/039,939 patent/US20240070443A1/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010146514A (ja) * | 2008-12-22 | 2010-07-01 | Sharp Corp | 情報処理装置及びこれを用いたニューラルネットワーク回路 |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119109455A (zh) * | 2024-08-30 | 2024-12-10 | 合肥工业大学 | 一种蚁群优化时延神经网络的流水线adc后台校准方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7540509B2 (ja) | 2024-08-27 |
| WO2022123781A1 (ja) | 2022-06-16 |
| US20240070443A1 (en) | 2024-02-29 |
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