WO2000003355A3 - Neural net, and a method and device for training a neural net - Google Patents

Neural net, and a method and device for training a neural net Download PDF

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Publication number
WO2000003355A3
WO2000003355A3 PCT/DE1999/001952 DE9901952W WO0003355A3 WO 2000003355 A3 WO2000003355 A3 WO 2000003355A3 DE 9901952 W DE9901952 W DE 9901952W WO 0003355 A3 WO0003355 A3 WO 0003355A3
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WO
WIPO (PCT)
Prior art keywords
neural net
training
net
neural
trained
Prior art date
Application number
PCT/DE1999/001952
Other languages
German (de)
French (fr)
Other versions
WO2000003355A2 (en
Inventor
Volkmar Sterzing
Original Assignee
Siemens Ag
Volkmar Sterzing
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 Siemens Ag, Volkmar Sterzing filed Critical Siemens Ag
Priority to EP99942765A priority Critical patent/EP1093639A2/en
Priority to JP2000559532A priority patent/JP2002520719A/en
Publication of WO2000003355A2 publication Critical patent/WO2000003355A2/en
Publication of WO2000003355A3 publication Critical patent/WO2000003355A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06N3/045—Combinations of networks

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  • 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)
  • Feedback Control In General (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

In a first training phase, a first neural net (102) is trained using a first training data set. The first neural net and a second neural net (103) are trained in a second training phase using a second training data set, whereby net parameters of the first neural net remain unchanged in the second training phase.
PCT/DE1999/001952 1998-07-08 1999-07-01 Neural net, and a method and device for training a neural net WO2000003355A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP99942765A EP1093639A2 (en) 1998-07-08 1999-07-01 Neural net, and a method and device for training a neural net
JP2000559532A JP2002520719A (en) 1998-07-08 1999-07-01 Neural net and neural net training method and apparatus

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19830539.7 1998-07-08
DE19830539 1998-07-08

Publications (2)

Publication Number Publication Date
WO2000003355A2 WO2000003355A2 (en) 2000-01-20
WO2000003355A3 true WO2000003355A3 (en) 2000-04-20

Family

ID=7873363

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/DE1999/001952 WO2000003355A2 (en) 1998-07-08 1999-07-01 Neural net, and a method and device for training a neural net

Country Status (3)

Country Link
EP (1) EP1093639A2 (en)
JP (1) JP2002520719A (en)
WO (1) WO2000003355A2 (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB9920950D0 (en) 1999-09-06 1999-11-10 Ici Ltd Apparatus and method for reducing residual solvent levels
CN102663495B (en) * 2012-02-22 2014-12-10 天津大学 Neural net data generation method for nonlinear device modeling
JP6164639B2 (en) * 2013-05-23 2017-07-19 国立研究開発法人情報通信研究機構 Deep neural network learning method and computer program
DE102015226656B4 (en) 2015-12-23 2019-10-10 Siemens Aktiengesellschaft Method and soft sensor for determining a power of a power generator
DE102018206108A1 (en) * 2018-04-20 2019-10-24 Zf Friedrichshafen Ag Generate validation data with generative contradictory networks
DE102019204136A1 (en) * 2019-03-26 2020-10-01 Robert Bosch Gmbh Method and device for training and producing an artificial neural network
EP3716238B1 (en) * 2019-03-27 2023-03-15 Siemens Aktiengesellschaft Method for determining an evacuation strategy for evacuation of a building

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0727748A1 (en) * 1995-02-17 1996-08-21 BODAMER, Edgar Method and device for multilayer unsupervised learning by using a hierarchy of neural nets

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0727748A1 (en) * 1995-02-17 1996-08-21 BODAMER, Edgar Method and device for multilayer unsupervised learning by using a hierarchy of neural nets

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
BAO-LIANG LU ET AL: "A MULTI-SIEVING NEURAL NETWORK ARCHITECTURE THAT DECOMPOSES LEARNING TASKS AUTOMATICALLY", PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS (ICNN),US,NEW YORK, IEEE, 27 June 1994 (1994-06-27) - 29 June 1994 (1994-06-29), pages 1319 - 1324, XP000503845, ISBN: 0-7803-1902-8 *
KAJIRO WATANABE ET AL: "INCIPIENT DIAGNOSIS OF MULTIPLE FAULTS IN CHEMICAL PROCESSES VIA HIERARCHICAL ARTIFICIAL NEURAL NETWORK", PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS,CONTROL AND INSTRUMENTATION (IECON),US,NEW YORK, IEEE, vol. CONF. 17, 28 October 1991 (1991-10-28) - 1 November 1991 (1991-11-01), pages 1500 - 1505, XP000313482, ISBN: 0-87942-688-8 *
SUNG JOO PARK ET AL: "A HIERARCHICAL NEURAL NETWORK APPROACH TO INTELLIGENT TRAFFIC CONTROL", PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS (ICNN),US,NEW YORK, IEEE, 27 June 1994 (1994-06-27), pages 3358 - 3362, XP000532726, ISBN: 0-7803-1902-8 *
WU Q H ET AL: "A NEURAL NETWORK REGULATOR FOR TURBOGENERATORS", IEEE TRANSACTIONS ON NEURAL NETWORKS,US,IEEE INC, NEW YORK, vol. 3, no. 1, 1 January 1992 (1992-01-01), pages 95 - 100, XP000262190, ISSN: 1045-9227 *

Also Published As

Publication number Publication date
WO2000003355A2 (en) 2000-01-20
JP2002520719A (en) 2002-07-09
EP1093639A2 (en) 2001-04-25

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