KR20160076531A - 다차원 범위에 걸쳐 분리가능한 서브 시스템들을 포함하는 시스템의 평가 - Google Patents

다차원 범위에 걸쳐 분리가능한 서브 시스템들을 포함하는 시스템의 평가 Download PDF

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KR20160076531A
KR20160076531A KR1020167013660A KR20167013660A KR20160076531A KR 20160076531 A KR20160076531 A KR 20160076531A KR 1020167013660 A KR1020167013660 A KR 1020167013660A KR 20167013660 A KR20167013660 A KR 20167013660A KR 20160076531 A KR20160076531 A KR 20160076531A
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subsystems
parameter
subsystem
neurons
sweep
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마이클 캄포스
카시미어 매튜 비어진스키
바르디아 팔라 베하바디
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퀄컴 인코포레이티드
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    • G06N3/02—Neural networks
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    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
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    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
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    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
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KR1020167013660A 2013-10-28 2014-10-17 다차원 범위에 걸쳐 분리가능한 서브 시스템들을 포함하는 시스템의 평가 Withdrawn KR20160076531A (ko)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US14/065,388 US9721204B2 (en) 2013-10-28 2013-10-28 Evaluation of a system including separable sub-systems over a multidimensional range
US14/065,388 2013-10-28
PCT/US2014/061220 WO2015065738A2 (en) 2013-10-28 2014-10-17 Evaluation of a system including separable sub-systems over a multidimensional range

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KR20160076531A true KR20160076531A (ko) 2016-06-30

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US (1) US9721204B2 (enExample)
EP (1) EP3063707A2 (enExample)
JP (1) JP2016538633A (enExample)
KR (1) KR20160076531A (enExample)
CN (1) CN105580031B (enExample)
CA (1) CA2926649A1 (enExample)
TW (1) TW201525883A (enExample)
WO (1) WO2015065738A2 (enExample)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102624947B1 (ko) * 2023-11-28 2024-01-15 주식회사 티알씨일렉트릭 전동기 역설계 장치 및 방법

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015179632A1 (en) * 2014-05-22 2015-11-26 Scheffler Lee J Methods and systems for neural and cognitive processing
US11423311B2 (en) * 2015-06-04 2022-08-23 Samsung Electronics Co., Ltd. Automatic tuning of artificial neural networks
US10515312B1 (en) * 2015-12-30 2019-12-24 Amazon Technologies, Inc. Neural network model compaction using selective unit removal
CN106203621B (zh) * 2016-07-11 2019-04-30 北京深鉴智能科技有限公司 用于卷积神经网络计算的处理器
US11315018B2 (en) 2016-10-21 2022-04-26 Nvidia Corporation Systems and methods for pruning neural networks for resource efficient inference
EP3340129B1 (en) * 2016-12-21 2019-01-30 Axis AB Artificial neural network class-based pruning
US11188820B2 (en) * 2017-09-08 2021-11-30 International Business Machines Corporation Deep neural network performance analysis on shared memory accelerator systems
EP3740893A1 (en) * 2018-01-17 2020-11-25 Signify Holding B.V. System and method for object recognition using neural networks
CN110543933B (zh) * 2019-08-12 2022-10-21 北京大学 基于flash存算阵列的脉冲型卷积神经网络
CN110570616B (zh) * 2019-09-10 2020-09-25 淮阴工学院 一种基于物联网的多点火灾预警系统
DE102019214436A1 (de) * 2019-09-23 2021-03-25 Robert Bosch Gmbh Verfahren, Vorrichtung und Computerprogramm zum Betreiben eines künstlichen neuronalen Netzes
KR20210115863A (ko) 2020-03-16 2021-09-27 삼성전자주식회사 뉴럴 네트워크 모델을 위한 병렬 처리 방법 및 장치
US11507423B2 (en) * 2020-03-30 2022-11-22 Qualcomm Incorporated Processing data stream modification to reduce power effects during parallel processing
CN119227881B (zh) * 2024-09-12 2025-05-06 西安电子科技大学 引入偏离系数实现耦合模型全域连续相似预测的方法

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0480654B1 (en) 1990-10-10 1998-03-04 Honeywell Inc. Process system identification
CA2060554A1 (en) 1991-04-18 1992-10-19 Shawn Michael Austvold Apparatus and method for facilitating use of a neural network
JP3182112B2 (ja) * 1997-04-28 2001-07-03 東京電力株式会社 建物外観の色彩決定支援システム
JP2004094437A (ja) * 2002-08-30 2004-03-25 Fuji Electric Holdings Co Ltd データ予測方法及びデータ予測システム
US7496546B2 (en) * 2003-03-24 2009-02-24 Riken Interconnecting neural network system, interconnecting neural network structure construction method, self-organizing neural network structure construction method, and construction programs therefor
US20060224533A1 (en) 2005-03-14 2006-10-05 Thaler Stephen L Neural network development and data analysis tool
US7502763B2 (en) 2005-07-29 2009-03-10 The Florida International University Board Of Trustees Artificial neural network design and evaluation tool
WO2008067676A1 (en) * 2006-12-08 2008-06-12 Medhat Moussa Architecture, system and method for artificial neural network implementation
US8065244B2 (en) 2007-03-14 2011-11-22 Halliburton Energy Services, Inc. Neural-network based surrogate model construction methods and applications thereof
CN101893541A (zh) * 2010-06-09 2010-11-24 哈尔滨工业大学 建立纤维增强树脂基复合材料孔隙问题的表征与评价模型的方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102624947B1 (ko) * 2023-11-28 2024-01-15 주식회사 티알씨일렉트릭 전동기 역설계 장치 및 방법

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WO2015065738A3 (en) 2015-07-09
CN105580031B (zh) 2018-01-16
WO2015065738A2 (en) 2015-05-07
US20150120632A1 (en) 2015-04-30
EP3063707A2 (en) 2016-09-07
JP2016538633A (ja) 2016-12-08
CA2926649A1 (en) 2015-05-07
US9721204B2 (en) 2017-08-01
CN105580031A (zh) 2016-05-11
TW201525883A (zh) 2015-07-01

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