CA2926649A1 - Evaluation of a system including separable sub-systems over a multidimensional range - Google Patents

Evaluation of a system including separable sub-systems over a multidimensional range Download PDF

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Publication number
CA2926649A1
CA2926649A1 CA2926649A CA2926649A CA2926649A1 CA 2926649 A1 CA2926649 A1 CA 2926649A1 CA 2926649 A CA2926649 A CA 2926649A CA 2926649 A CA2926649 A CA 2926649A CA 2926649 A1 CA2926649 A1 CA 2926649A1
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CA
Canada
Prior art keywords
sub
systems
neurons
parameter
neuron
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.)
Abandoned
Application number
CA2926649A
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English (en)
French (fr)
Inventor
Michael Campos
Casimir Matthew WIERZYNSKI
Bardia Fallah BEHABADI
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qualcomm Inc
Original Assignee
Qualcomm Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Qualcomm Inc filed Critical Qualcomm Inc
Publication of CA2926649A1 publication Critical patent/CA2926649A1/en
Abandoned legal-status Critical Current

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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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Feedback Control In General (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)
CA2926649A 2013-10-28 2014-10-17 Evaluation of a system including separable sub-systems over a multidimensional range Abandoned CA2926649A1 (en)

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 (1)

Publication Number Publication Date
CA2926649A1 true CA2926649A1 (en) 2015-05-07

Family

ID=51897437

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2926649A Abandoned CA2926649A1 (en) 2013-10-28 2014-10-17 Evaluation of a system including separable sub-systems over a multidimensional range

Country Status (8)

Country Link
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

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

Also Published As

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
JP2016538633A (ja) 2016-12-08
US9721204B2 (en) 2017-08-01
CN105580031A (zh) 2016-05-11
TW201525883A (zh) 2015-07-01

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Legal Events

Date Code Title Description
FZDE Discontinued

Effective date: 20191017