JP2017516192A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2017516192A5 JP2017516192A5 JP2016558315A JP2016558315A JP2017516192A5 JP 2017516192 A5 JP2017516192 A5 JP 2017516192A5 JP 2016558315 A JP2016558315 A JP 2016558315A JP 2016558315 A JP2016558315 A JP 2016558315A JP 2017516192 A5 JP2017516192 A5 JP 2017516192A5
- Authority
- JP
- Japan
- Prior art keywords
- value
- neuron
- predicted
- activation
- input
- 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.)
- Pending
Links
- 230000004913 activation Effects 0.000 claims 24
- 210000002569 neuron Anatomy 0.000 claims 23
- 238000000034 method Methods 0.000 claims 20
- 238000013528 artificial neural network Methods 0.000 claims 11
- 230000003111 delayed effect Effects 0.000 claims 1
- 238000012886 linear function Methods 0.000 claims 1
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201461969747P | 2014-03-24 | 2014-03-24 | |
| US61/969,747 | 2014-03-24 | ||
| US14/513,155 US20150269481A1 (en) | 2014-03-24 | 2014-10-13 | Differential encoding in neural networks |
| US14/513,155 | 2014-10-13 | ||
| PCT/US2015/021077 WO2015148189A2 (en) | 2014-03-24 | 2015-03-17 | Differential encoding in neural networks |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2017516192A JP2017516192A (ja) | 2017-06-15 |
| JP2017516192A5 true JP2017516192A5 (enExample) | 2018-04-05 |
Family
ID=54142454
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2016558315A Pending JP2017516192A (ja) | 2014-03-24 | 2015-03-17 | ニューラルネットワークにおける差分符号化 |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US20150269481A1 (enExample) |
| EP (1) | EP3123404A2 (enExample) |
| JP (1) | JP2017516192A (enExample) |
| KR (1) | KR20160136381A (enExample) |
| CN (1) | CN107077637B (enExample) |
| BR (1) | BR112016022195A2 (enExample) |
| WO (1) | WO2015148189A2 (enExample) |
Families Citing this family (36)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150379397A1 (en) | 2014-06-28 | 2015-12-31 | Brainchip, Inc. | Secure voice signature communications system |
| US10262259B2 (en) * | 2015-05-08 | 2019-04-16 | Qualcomm Incorporated | Bit width selection for fixed point neural networks |
| US11126913B2 (en) * | 2015-07-23 | 2021-09-21 | Applied Brain Research Inc | Methods and systems for implementing deep spiking neural networks |
| WO2017068490A1 (en) * | 2015-10-23 | 2017-04-27 | Semiconductor Energy Laboratory Co., Ltd. | Semiconductor device and electronic device |
| JP6612473B2 (ja) * | 2016-01-25 | 2019-11-27 | ディープマインド テクノロジーズ リミテッド | ニューラルネットワークを使用した画像生成 |
| US10528863B2 (en) * | 2016-04-01 | 2020-01-07 | Numenta, Inc. | Feedback mechanisms in sequence learning systems with temporal processing capability |
| KR102399548B1 (ko) * | 2016-07-13 | 2022-05-19 | 삼성전자주식회사 | 뉴럴 네트워크를 위한 방법 및 그 방법을 수행하는 장치 |
| US10949737B2 (en) * | 2016-07-13 | 2021-03-16 | Samsung Electronics Co., Ltd. | Method for neural network and apparatus performing same method |
| US11238337B2 (en) * | 2016-08-22 | 2022-02-01 | Applied Brain Research Inc. | Methods and systems for implementing dynamic neural networks |
| US20180121791A1 (en) * | 2016-11-03 | 2018-05-03 | Qualcomm Incorporated | Temporal difference estimation in an artificial neural network |
| CN113537480B (zh) * | 2016-12-30 | 2024-04-02 | 上海寒武纪信息科技有限公司 | 用于执行lstm神经网络运算的装置和运算方法 |
| US20190347541A1 (en) * | 2016-12-30 | 2019-11-14 | Nokia Technologies Oy | Apparatus, method and computer program product for deep learning |
| CN108345939B (zh) * | 2017-01-25 | 2022-05-24 | 微软技术许可有限责任公司 | 基于定点运算的神经网络 |
| US10311339B2 (en) * | 2017-02-14 | 2019-06-04 | Google Llc | Unsupervised learning techniques for temporal difference models |
| JP7019138B2 (ja) * | 2017-02-28 | 2022-02-15 | 国立大学法人電気通信大学 | 符号化装置、符号化方法およびプログラム |
| JP6898778B2 (ja) * | 2017-06-02 | 2021-07-07 | 株式会社日立製作所 | 機械学習システム及び機械学習方法 |
| KR102410820B1 (ko) * | 2017-08-14 | 2022-06-20 | 삼성전자주식회사 | 뉴럴 네트워크를 이용한 인식 방법 및 장치 및 상기 뉴럴 네트워크를 트레이닝하는 방법 및 장치 |
| US12198064B2 (en) | 2017-08-22 | 2025-01-14 | Syntiant | Systems and methods for determining circuit-level effects on classifier accuracy |
| US20190102669A1 (en) * | 2017-09-29 | 2019-04-04 | Intel Corporation | Global and local time-step determination schemes for neural networks |
| WO2019074532A1 (en) * | 2017-10-09 | 2019-04-18 | Intel Corporation | METHOD, APPARATUS AND SYSTEM FOR PERFORMING ACTION RECOGNITION USING AN IMPULSE NEURAL NETWORK |
| CN109961133B (zh) * | 2017-12-14 | 2020-04-24 | 中科寒武纪科技股份有限公司 | 集成电路芯片装置及相关产品 |
| US11636318B2 (en) * | 2017-12-15 | 2023-04-25 | Intel Corporation | Context-based search using spike waves in spiking neural networks |
| WO2019125419A1 (en) * | 2017-12-19 | 2019-06-27 | Intel Corporation | Device, system and method for varying a synaptic weight with a phase differential of a spiking neural network |
| US20190034716A1 (en) | 2017-12-28 | 2019-01-31 | Intel Corporation | Privacy-preserving demographics identification |
| US10825201B2 (en) * | 2018-02-20 | 2020-11-03 | Lyft, Inc. | Deep direct localization from ground imagery and location readings |
| KR102091498B1 (ko) * | 2018-06-11 | 2020-03-24 | 고려대학교 산학협력단 | 비지도 학습장치 및 그 학습방법 |
| US11030518B2 (en) * | 2018-06-13 | 2021-06-08 | United States Of America As Represented By The Secretary Of The Navy | Asynchronous artificial neural network architecture |
| US11200484B2 (en) * | 2018-09-06 | 2021-12-14 | International Business Machines Corporation | Probability propagation over factor graphs |
| JP7021052B2 (ja) * | 2018-11-06 | 2022-02-16 | 株式会社東芝 | 製品状態推定装置 |
| US11568248B2 (en) * | 2020-03-31 | 2023-01-31 | Ati Technologies Ulc | Feature reordering based on similarity for improved memory compression transfers during machine learning jobs |
| EP3917087B1 (en) * | 2020-05-26 | 2023-04-19 | Nxp B.V. | Controller and transceiver |
| SE544261C2 (en) | 2020-06-16 | 2022-03-15 | IntuiCell AB | A computer-implemented or hardware-implemented method of entity identification, a computer program product and an apparatus for entity identification |
| US12165046B2 (en) * | 2021-03-16 | 2024-12-10 | International Business Machines Corporation | Enabling hierarchical data loading in a resistive processing unit (RPU) array for reduced communication cost |
| CN113762487B (zh) * | 2021-08-17 | 2023-11-10 | 西北大学 | 基于神经架构搜索及dbn网络的脑功能网络生成方法及系统 |
| KR20240158261A (ko) * | 2022-03-02 | 2024-11-04 | 인투이셀 에이비 | 제1 시스템의 시간적 역학 표현을 제공하는 방법, 미들웨어 시스템, 컨트롤러 시스템, 컴퓨터 프로그램 제품 및 비일시적 컴퓨터 판독 가능 저장 매체 |
| KR102593930B1 (ko) | 2023-04-18 | 2023-10-25 | 주식회사 한국스크랩 | 친환경 폐 알루미늄 박리 자동화 시스템 |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| IT1272417B (it) * | 1993-04-29 | 1997-06-23 | Alcatel Italia | Metodo per la codifica e decodifica differenziale e relativi circuiti |
| US6185548B1 (en) * | 1998-06-19 | 2001-02-06 | Albert Einstein College Of Medicine Of Yeshiva University | Neural network methods to predict enzyme inhibitor or receptor ligand potency |
| US20010025232A1 (en) * | 1998-10-02 | 2001-09-27 | Klimasauskas Casimir C. | Hybrid linear-neural network process control |
| US7430546B1 (en) * | 2003-06-07 | 2008-09-30 | Roland Erwin Suri | Applications of an algorithm that mimics cortical processing |
| CN1622129A (zh) * | 2004-12-13 | 2005-06-01 | 中国科学院长春光学精密机械与物理研究所 | 人工神经网络的优化方法 |
| CN101310294A (zh) * | 2005-11-15 | 2008-11-19 | 伯纳黛特·加纳 | 神经网络的训练方法 |
| JP4840494B2 (ja) * | 2009-09-16 | 2011-12-21 | 沖電気工業株式会社 | 時系列データ予測ニューラルネットワーク装置 |
| CN101824807A (zh) * | 2010-04-16 | 2010-09-08 | 同济大学 | 一种潮汐河流地区取水口咸潮短期预测方法 |
| CN104346801B (zh) * | 2013-08-02 | 2018-07-20 | 佳能株式会社 | 图像构图评估装置、信息处理装置及其方法 |
| CN103559538A (zh) * | 2013-11-12 | 2014-02-05 | 上海电机学院 | Bp神经网络结构优化方法 |
-
2014
- 2014-10-13 US US14/513,155 patent/US20150269481A1/en not_active Abandoned
-
2015
- 2015-03-17 WO PCT/US2015/021077 patent/WO2015148189A2/en not_active Ceased
- 2015-03-17 EP EP15716612.5A patent/EP3123404A2/en not_active Ceased
- 2015-03-17 KR KR1020167029200A patent/KR20160136381A/ko not_active Withdrawn
- 2015-03-17 JP JP2016558315A patent/JP2017516192A/ja active Pending
- 2015-03-17 BR BR112016022195A patent/BR112016022195A2/pt not_active IP Right Cessation
- 2015-03-17 CN CN201580015756.6A patent/CN107077637B/zh active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2017516192A5 (enExample) | ||
| JP2017509978A5 (enExample) | ||
| US9922266B2 (en) | Extracting salient features from video using a neurosynaptic system | |
| WO2015148189A3 (en) | Differential encoding in neural networks | |
| WO2015030606A3 (en) | Improved method and system for predicting outcomes based on spatio / spectro-temporal data | |
| FI3792755T3 (fi) | Töiden ajoittaminen hajautettujen tietokonelaitteiden kesken | |
| EP3888103A4 (en) | SYSTEMS, METHODS AND DEVICES FOR BIOPHYSICAL MODELING AND RESPONSE PREDICTION | |
| JP2019502212A5 (enExample) | ||
| JP2017520824A5 (enExample) | ||
| JP2014524175A5 (enExample) | ||
| MY179856A (en) | Information providing device and non-transitory computer readable medium storing information providing program | |
| CA2953385C (en) | SYSTEM AND METHOD FOR MODELING SYSTEM BEHAVIOR | |
| WO2016138378A8 (en) | Techniques of oscillator control for quantum information processing and related systems and methods | |
| WO2015127110A3 (en) | Event-based inference and learning for stochastic spiking bayesian networks | |
| CA3143673C (en) | PARALLEL CROSS-ENTROPY REFERENCE | |
| Cui et al. | Complex rotation quantum dynamic neural networks (CRQDNN) using complex quantum neuron (CQN): Applications to time series prediction | |
| GB2557054A (en) | Determining sources of erroneous downhole predictions | |
| WO2019207581A1 (en) | System and method for emulating quantization noise for a neural network | |
| CN112418421A (zh) | 一种基于图注意力自编码模型的路侧端行人轨迹预测算法 | |
| JP2014214566A5 (ja) | ショベルの処理装置及び作業内容判定方法 | |
| Mistry et al. | Satisfiability modulo theories for process systems engineering | |
| Li et al. | Extended dissipative state estimation for uncertain discrete-time Markov jump neural networks with mixed time delays | |
| Wu et al. | Pinning adaptive synchronization of general time-varying delayed and multi-linked networks with variable structures | |
| Boularias et al. | Apprenticeship learning with few examples | |
| AbdulQader et al. | Enabling incremental training with forward pass for edge devices |