JP2016538633A - 多次元範囲にわたって分離可能なサブシステムを含むシステムの評価 - Google Patents

多次元範囲にわたって分離可能なサブシステムを含むシステムの評価 Download PDF

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JP2016538633A
JP2016538633A JP2016526188A JP2016526188A JP2016538633A JP 2016538633 A JP2016538633 A JP 2016538633A JP 2016526188 A JP2016526188 A JP 2016526188A JP 2016526188 A JP2016526188 A JP 2016526188A JP 2016538633 A JP2016538633 A JP 2016538633A
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parameter
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neurons
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JP2016538633A5 (enExample
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カンポス、マイケル
ウィエジーンスキー、カシミール・マッシュー
ベハバディ、バルディア・ファラー
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Qualcomm Inc
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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
    • G06N3/049—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
    • G06N3/0495—Quantised networks; Sparse networks; Compressed 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
    • G06N3/0499—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
    • G06N3/08—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
    • G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn
    • 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
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural 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
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • G06N3/105—Shells for specifying net layout
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00—Fire alarms; Alarms responsive to explosion
    • G08B17/005—Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
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  • Mathematical Physics (AREA)
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  • Health & Medical Sciences (AREA)
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  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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JP2016526188A 2013-10-28 2014-10-17 多次元範囲にわたって分離可能なサブシステムを含むシステムの評価 Pending JP2016538633A (ja)

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

Publications (2)

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JP2016538633A true JP2016538633A (ja) 2016-12-08
JP2016538633A5 JP2016538633A5 (enExample) 2017-11-02

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JP2016526188A Pending JP2016538633A (ja) 2013-10-28 2014-10-17 多次元範囲にわたって分離可能なサブシステムを含むシステムの評価

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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)

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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
KR102624947B1 (ko) * 2023-11-28 2024-01-15 주식회사 티알씨일렉트릭 전동기 역설계 장치 및 방법
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

Citations (2)

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JPH10301981A (ja) * 1997-04-28 1998-11-13 Tokyo Electric Power Co Inc:The 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

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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
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

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10301981A (ja) * 1997-04-28 1998-11-13 Tokyo Electric Power Co Inc:The 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

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Publication number Publication date
WO2015065738A3 (en) 2015-07-09
KR20160076531A (ko) 2016-06-30
CN105580031B (zh) 2018-01-16
WO2015065738A2 (en) 2015-05-07
US20150120632A1 (en) 2015-04-30
EP3063707A2 (en) 2016-09-07
CA2926649A1 (en) 2015-05-07
US9721204B2 (en) 2017-08-01
CN105580031A (zh) 2016-05-11
TW201525883A (zh) 2015-07-01

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