EP3469521A4 - Neuronales netzwerk und verfahren zum trainieren eines neuronalen netzwerks - Google Patents
Neuronales netzwerk und verfahren zum trainieren eines neuronalen netzwerks Download PDFInfo
- Publication number
- EP3469521A4 EP3469521A4 EP17811082.1A EP17811082A EP3469521A4 EP 3469521 A4 EP3469521 A4 EP 3469521A4 EP 17811082 A EP17811082 A EP 17811082A EP 3469521 A4 EP3469521 A4 EP 3469521A4
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- EP
- European Patent Office
- Prior art keywords
- neuronal network
- training
- neuronal
- network
- Prior art date
- 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.)
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Classifications
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- 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
- G06N3/065—Analogue 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
-
- 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
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
-
- 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
-
- 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
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- 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)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Neurology (AREA)
- Image Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/178,137 US9619749B2 (en) | 2014-03-06 | 2016-06-09 | Neural network and method of neural network training |
| US15/449,614 US10423694B2 (en) | 2014-03-06 | 2017-03-03 | Neural network and method of neural network training |
| PCT/US2017/036758 WO2017214507A1 (en) | 2016-06-09 | 2017-06-09 | Neural network and method of neural network training |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP3469521A1 EP3469521A1 (de) | 2019-04-17 |
| EP3469521A4 true EP3469521A4 (de) | 2020-02-26 |
Family
ID=60579026
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP17811082.1A Withdrawn EP3469521A4 (de) | 2016-06-09 | 2017-06-09 | Neuronales netzwerk und verfahren zum trainieren eines neuronalen netzwerks |
Country Status (5)
| Country | Link |
|---|---|
| EP (1) | EP3469521A4 (de) |
| JP (1) | JP7041078B2 (de) |
| KR (1) | KR102558300B1 (de) |
| CN (1) | CN109416758A (de) |
| WO (1) | WO2017214507A1 (de) |
Families Citing this family (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102018202095A1 (de) * | 2018-02-12 | 2019-08-14 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Überprüfen einer Neuronenfunktion in einem neuronalen Netzwerk |
| US11454968B2 (en) * | 2018-02-28 | 2022-09-27 | Micron Technology, Inc. | Artificial neural network integrity verification |
| US11640522B2 (en) | 2018-12-13 | 2023-05-02 | Tybalt, Llc | Computational efficiency improvements for artificial neural networks |
| US11562231B2 (en) * | 2018-09-03 | 2023-01-24 | Tesla, Inc. | Neural networks for embedded devices |
| CN109799439B (zh) * | 2019-03-29 | 2021-04-13 | 云南电网有限责任公司电力科学研究院 | 一种绝缘多角度倾斜划伤电缆受潮实验评估方法及装置 |
| CN110135557B (zh) * | 2019-04-11 | 2023-06-02 | 上海集成电路研发中心有限公司 | 一种图像处理系统的神经网络拓扑架构 |
| CN110111234B (zh) * | 2019-04-11 | 2023-12-15 | 上海集成电路研发中心有限公司 | 一种基于神经网络的图像处理系统架构 |
| CN110046513B (zh) * | 2019-04-11 | 2023-01-03 | 长安大学 | 基于Hopfield混沌神经网络的明文关联图像加密方法 |
| KR102675806B1 (ko) | 2019-05-03 | 2024-06-18 | 삼성전자주식회사 | 영상 처리 장치 및 그 영상 처리 방법 |
| US11361218B2 (en) * | 2019-05-31 | 2022-06-14 | International Business Machines Corporation | Noise and signal management for RPU array |
| CN110533182B (zh) * | 2019-08-01 | 2025-06-27 | 北京三快在线科技有限公司 | 一种数据处理方法及装置 |
| US10726331B1 (en) * | 2019-08-26 | 2020-07-28 | International Business Machines Corporation | Neural network circuits providing early integration before analog-to-digital conversion |
| WO2021073752A1 (en) * | 2019-10-18 | 2021-04-22 | Huawei Technologies Co., Ltd. | Design and training of binary neurons and binary neural networks with error correcting codes |
| US11714999B2 (en) | 2019-11-15 | 2023-08-01 | International Business Machines Corporation | Neuromorphic device with crossbar array structure storing both weights and neuronal states of neural networks |
| KR102410166B1 (ko) * | 2019-11-27 | 2022-06-20 | 고려대학교 산학협력단 | 이종 곱셈-누셈 유닛을 이용하는 심층 신경망의 가속기 |
| US20210303975A1 (en) * | 2020-03-25 | 2021-09-30 | Arm Limited | Compression and decompression of weight values |
| CN111461308B (zh) * | 2020-04-14 | 2023-06-30 | 中国人民解放军国防科技大学 | 忆阻神经网络及权值训练方法 |
| JP7493398B2 (ja) | 2020-07-03 | 2024-05-31 | 日本放送協会 | 変換装置、学習装置、およびプログラム |
| CN111815640B (zh) * | 2020-07-21 | 2022-05-03 | 江苏经贸职业技术学院 | 一种基于忆阻器的rbf神经网络医学图像分割算法 |
| CN112215344B (zh) * | 2020-09-30 | 2025-03-21 | 清华大学 | 神经网络电路的校正方法以及设计方法 |
| US12488250B2 (en) * | 2020-11-02 | 2025-12-02 | International Business Machines Corporation | Weight repetition on RPU crossbar arrays |
| US12314844B2 (en) | 2021-06-07 | 2025-05-27 | International Business Machines Corporation | Extraction of weight values in resistive processing unit array |
| CN113570048B (zh) * | 2021-06-17 | 2022-05-31 | 南方科技大学 | 基于电路仿真的忆阻器阵列神经网络的构建及优化方法 |
| KR102514652B1 (ko) * | 2021-11-19 | 2023-03-29 | 서울대학교산학협력단 | 뉴로모픽 소자를 위한 가중치 전사 장치 및 이를 이용한 가중치 전사 방법 |
| CN115358389B (zh) * | 2022-09-01 | 2024-08-20 | 清华大学 | 神经网络的训练误差降低方法、装置、电子设备及介质 |
| WO2024206841A1 (en) * | 2023-03-31 | 2024-10-03 | President And Fellows Of Harvard College | Systems and methods for differentiable optical processors |
| CN121074527B (zh) * | 2025-11-06 | 2026-03-03 | 浙江大学 | 一种基于谱范数正则的多层脉冲Hopfield网络图像分类方法 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5600843A (en) * | 1989-09-20 | 1997-02-04 | Fujitsu Limited | Ring systolic array system for synchronously performing matrix/neuron computation using data transferred through cyclic shift register connected in cascade of trays |
| US20160012330A1 (en) * | 2014-03-06 | 2016-01-14 | Progress, Inc. | Neural network and method of neural network training |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101980290B (zh) * | 2010-10-29 | 2012-06-20 | 西安电子科技大学 | 抗噪声环境多聚焦图像融合方法 |
| US10055434B2 (en) * | 2013-10-16 | 2018-08-21 | University Of Tennessee Research Foundation | Method and apparatus for providing random selection and long-term potentiation and depression in an artificial network |
-
2017
- 2017-06-09 KR KR1020197000226A patent/KR102558300B1/ko active Active
- 2017-06-09 WO PCT/US2017/036758 patent/WO2017214507A1/en not_active Ceased
- 2017-06-09 CN CN201780035716.7A patent/CN109416758A/zh active Pending
- 2017-06-09 EP EP17811082.1A patent/EP3469521A4/de not_active Withdrawn
- 2017-06-09 JP JP2018564317A patent/JP7041078B2/ja active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5600843A (en) * | 1989-09-20 | 1997-02-04 | Fujitsu Limited | Ring systolic array system for synchronously performing matrix/neuron computation using data transferred through cyclic shift register connected in cascade of trays |
| US20160012330A1 (en) * | 2014-03-06 | 2016-01-14 | Progress, Inc. | Neural network and method of neural network training |
Non-Patent Citations (4)
| Title |
|---|
| DMITRI PESCIANSCHI ET AL: "Analog and Digital Modeling of a Scalable Neural Network", PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (ICAI 2015), vol. II, 27 July 2015 (2015-07-27), XP055658955 * |
| DMITRI PESCIANSCHI ET AL: "Main Principles of the General Theory of Neural Network with Internal Feedback Neural Network", PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (ICAI 2015), vol. II, 27 July 2015 (2015-07-27), XP055658960 * |
| See also references of WO2017214507A1 * |
| YU-YI LIAO ET AL: "CMAC WITH CLUSTERING MEMORY AND ITS APPLICATION TO FACIAL EXPRESSION RECOGNITION", INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (IJPRAI), WORLD SCIENTIFIC PUBLISHING, SI, vol. 25, no. 7, 1 November 2011 (2011-11-01), pages 1055 - 1072, XP001570451, ISSN: 0218-0014, DOI: 10.1142/S0218001411008968 * |
Also Published As
| Publication number | Publication date |
|---|---|
| EP3469521A1 (de) | 2019-04-17 |
| WO2017214507A1 (en) | 2017-12-14 |
| CN109416758A (zh) | 2019-03-01 |
| JP2019519045A (ja) | 2019-07-04 |
| KR20190016539A (ko) | 2019-02-18 |
| KR102558300B1 (ko) | 2023-07-21 |
| JP7041078B2 (ja) | 2022-03-23 |
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