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IT201700047044A1 - Rete neurale, dispositivo, apparecchiatura e procedimento corrispondenti - Google Patents

Rete neurale, dispositivo, apparecchiatura e procedimento corrispondenti

Info

Publication number
IT201700047044A1
IT201700047044A1 IT102017000047044A IT201700047044A IT201700047044A1 IT 201700047044 A1 IT201700047044 A1 IT 201700047044A1 IT 102017000047044 A IT102017000047044 A IT 102017000047044A IT 201700047044 A IT201700047044 A IT 201700047044A IT 201700047044 A1 IT201700047044 A1 IT 201700047044A1
Authority
IT
Italy
Prior art keywords
equipment
neural network
corresponding procedure
procedure
neural
Prior art date
Application number
IT102017000047044A
Other languages
English (en)
Inventor
Danilo Pietro Pau
Marco Piastra
Luca Carcano
Original Assignee
St Microelectronics Srl
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 St Microelectronics Srl filed Critical St Microelectronics Srl
Priority to IT102017000047044A priority Critical patent/IT201700047044A1/it
Priority to US15/965,803 priority patent/US20180322393A1/en
Publication of IT201700047044A1 publication Critical patent/IT201700047044A1/it

Links

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
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • 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
    • G06N3/044—Recurrent networks, e.g. Hopfield 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • 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
    • G06N3/048—Activation functions
    • 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
    • G06N3/08—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
    • G06N3/0895—Weakly supervised learning, e.g. semi-supervised or self-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
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)
IT102017000047044A 2017-05-02 2017-05-02 Rete neurale, dispositivo, apparecchiatura e procedimento corrispondenti IT201700047044A1 (it)

Priority Applications (2)

Application Number Priority Date Filing Date Title
IT102017000047044A IT201700047044A1 (it) 2017-05-02 2017-05-02 Rete neurale, dispositivo, apparecchiatura e procedimento corrispondenti
US15/965,803 US20180322393A1 (en) 2017-05-02 2018-04-27 Neural network, corresponding device, apparatus and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IT102017000047044A IT201700047044A1 (it) 2017-05-02 2017-05-02 Rete neurale, dispositivo, apparecchiatura e procedimento corrispondenti

Publications (1)

Publication Number Publication Date
IT201700047044A1 true IT201700047044A1 (it) 2018-11-02

Family

ID=59811899

Family Applications (1)

Application Number Title Priority Date Filing Date
IT102017000047044A IT201700047044A1 (it) 2017-05-02 2017-05-02 Rete neurale, dispositivo, apparecchiatura e procedimento corrispondenti

Country Status (2)

Country Link
US (1) US20180322393A1 (it)
IT (1) IT201700047044A1 (it)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108256644B (zh) * 2018-01-05 2021-06-22 上海兆芯集成电路有限公司 微处理器电路以及执行神经网络运算的方法
US11640525B2 (en) * 2018-07-23 2023-05-02 The Board Of Regents Of The University Of Oklahoma Synthesis of sequential, spectral, and time-series data
US11200811B2 (en) * 2018-08-03 2021-12-14 International Business Machines Corporation Intelligent recommendation of guidance instructions
KR20250040098A (ko) * 2018-09-28 2025-03-21 스냅 인코포레이티드 웨어러블 또는 모바일 디바이스에서 제스처, 착용, 활동 또는 휴대 검출을 위한 신경 네트워크 시스템
EP3709511B1 (en) * 2019-03-15 2023-08-02 STMicroelectronics (Research & Development) Limited Method of operating a leaky integrator, leaky integrator and apparatus comprising a leaky integrator
TWI754970B (zh) * 2020-06-22 2022-02-11 鴻海精密工業股份有限公司 加速啟動函數運算的裝置、方法及存儲介質
CN112816884B (zh) * 2021-03-01 2022-08-02 中国人民解放军国防科技大学 卫星锂离子电池的健康状态监测方法、装置和设备
CN113469271A (zh) * 2021-07-19 2021-10-01 北京邮电大学 一种基于Echo State Network的图像分类方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016164151A1 (en) * 2015-04-10 2016-10-13 Google Inc. Neural network for keyboard input decoding
WO2016183522A1 (en) * 2015-05-14 2016-11-17 Thalchemy Corporation Neural sensor hub system
WO2017048195A1 (en) * 2015-09-17 2017-03-23 Nanyang Technological University Computer system incorporating an adaptive model, and methods for training the adaptive model

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10622786B2 (en) * 2017-04-20 2020-04-14 International Business Machines Corporation Laser apparatus and reservoir computing system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016164151A1 (en) * 2015-04-10 2016-10-13 Google Inc. Neural network for keyboard input decoding
WO2016183522A1 (en) * 2015-05-14 2016-11-17 Thalchemy Corporation Neural sensor hub system
WO2017048195A1 (en) * 2015-09-17 2017-03-23 Nanyang Technological University Computer system incorporating an adaptive model, and methods for training the adaptive model

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SEBASTIAN BASTERRECH ET AL: "Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks", INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA), 2011 11TH INTERNATIONAL CONFERENCE ON, IEEE, 22 November 2011 (2011-11-22), pages 94 - 99, XP032086036, ISBN: 978-1-4577-1676-8, DOI: 10.1109/ISDA.2011.6121637 *

Also Published As

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US20180322393A1 (en) 2018-11-08

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