AU2001231139A1 - A method and apparatus of using a neural network to train a neural network - Google Patents
A method and apparatus of using a neural network to train a neural networkInfo
- Publication number
- AU2001231139A1 AU2001231139A1 AU2001231139A AU3113901A AU2001231139A1 AU 2001231139 A1 AU2001231139 A1 AU 2001231139A1 AU 2001231139 A AU2001231139 A AU 2001231139A AU 3113901 A AU3113901 A AU 3113901A AU 2001231139 A1 AU2001231139 A1 AU 2001231139A1
- Authority
- AU
- Australia
- Prior art keywords
- neural network
- train
- neural
- network
- 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
Links
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
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)
- Complex Calculations (AREA)
- Feedback Control In General (AREA)
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US17806000P | 2000-01-24 | 2000-01-24 | |
US60178060 | 2000-01-24 | ||
US09/767,279 US6976012B1 (en) | 2000-01-24 | 2001-01-22 | Method and apparatus of using a neural network to train a neural network |
US09767279 | 2001-01-22 | ||
PCT/US2001/002426 WO2001054060A2 (en) | 2000-01-24 | 2001-01-24 | A method and apparatus of using a neural network to train a neural network |
Publications (1)
Publication Number | Publication Date |
---|---|
AU2001231139A1 true AU2001231139A1 (en) | 2001-07-31 |
Family
ID=26873917
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
AU2001231139A Abandoned AU2001231139A1 (en) | 2000-01-24 | 2001-01-24 | A method and apparatus of using a neural network to train a neural network |
Country Status (3)
Country | Link |
---|---|
US (2) | US6976012B1 (en) |
AU (1) | AU2001231139A1 (en) |
WO (1) | WO2001054060A2 (en) |
Families Citing this family (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8374974B2 (en) * | 2003-01-06 | 2013-02-12 | Halliburton Energy Services, Inc. | Neural network training data selection using memory reduced cluster analysis for field model development |
US7321809B2 (en) * | 2003-12-30 | 2008-01-22 | The Boeing Company | Methods and systems for analyzing engine unbalance conditions |
GB2462380B (en) * | 2007-03-14 | 2012-02-15 | Halliburton Energy Serv Inc | Neural-network based surrogate model construction methods and applications thereof |
US7775107B2 (en) * | 2007-10-03 | 2010-08-17 | Hamilton Sundstrand Corporation | Measuring rotor imbalance via blade clearance sensors |
US7814038B1 (en) | 2007-12-06 | 2010-10-12 | Dominic John Repici | Feedback-tolerant method and device producing weight-adjustment factors for pre-synaptic neurons in artificial neural networks |
US20090276385A1 (en) * | 2008-04-30 | 2009-11-05 | Stanley Hill | Artificial-Neural-Networks Training Artificial-Neural-Networks |
AU2009279644B2 (en) * | 2008-08-06 | 2012-08-23 | Halliburton Energy Services, Inc. | Systems and methods employing cooperative optimization-based dimensionality reduction |
US9514388B2 (en) * | 2008-08-12 | 2016-12-06 | Halliburton Energy Services, Inc. | Systems and methods employing cooperative optimization-based dimensionality reduction |
JP2011107648A (en) * | 2009-11-20 | 2011-06-02 | Fujifilm Corp | Lens unit |
US9230208B2 (en) | 2013-12-18 | 2016-01-05 | International Business Machines Corporation | Haptic-based artificial neural network training |
US10275705B2 (en) | 2014-08-08 | 2019-04-30 | Vicarious Fpc, Inc. | Systems and methods for generating data explanations for neural networks and related systems |
US10417525B2 (en) * | 2014-09-22 | 2019-09-17 | Samsung Electronics Co., Ltd. | Object recognition with reduced neural network weight precision |
US11221990B2 (en) | 2015-04-03 | 2022-01-11 | The Mitre Corporation | Ultra-high compression of images based on deep learning |
US11120299B2 (en) | 2016-01-27 | 2021-09-14 | Microsoft Technology Licensing, Llc | Installation and operation of different processes of an AI engine adapted to different configurations of hardware located on-premises and in hybrid environments |
US11775850B2 (en) | 2016-01-27 | 2023-10-03 | Microsoft Technology Licensing, Llc | Artificial intelligence engine having various algorithms to build different concepts contained within a same AI model |
US11868896B2 (en) | 2016-01-27 | 2024-01-09 | Microsoft Technology Licensing, Llc | Interface for working with simulations on premises |
US10671938B2 (en) * | 2016-01-27 | 2020-06-02 | Bonsai AI, Inc. | Artificial intelligence engine configured to work with a pedagogical programming language to train one or more trained artificial intelligence models |
US11841789B2 (en) | 2016-01-27 | 2023-12-12 | Microsoft Technology Licensing, Llc | Visual aids for debugging |
KR20170118520A (en) | 2016-04-15 | 2017-10-25 | 삼성전자주식회사 | Interface neural network |
CA3028919C (en) * | 2016-06-21 | 2022-04-26 | Vicarious Fpc, Inc. | Systems and methods for generating data explanations for neural networks and related systems |
US10623775B1 (en) * | 2016-11-04 | 2020-04-14 | Twitter, Inc. | End-to-end video and image compression |
US11461383B2 (en) * | 2017-09-25 | 2022-10-04 | Equifax Inc. | Dual deep learning architecture for machine-learning systems |
US10726335B2 (en) | 2017-10-26 | 2020-07-28 | Uber Technologies, Inc. | Generating compressed representation neural networks having high degree of accuracy |
JP7241450B2 (en) | 2018-09-05 | 2023-03-17 | イントリンシック イノベーション リミテッド ライアビリティー カンパニー | METHOD AND SYSTEM FOR MACHINE CONCEPT UNDERSTANDING |
US11429406B1 (en) | 2021-03-08 | 2022-08-30 | Bank Of America Corporation | System for implementing auto didactic content generation using reinforcement learning |
Family Cites Families (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4995088A (en) * | 1987-04-09 | 1991-02-19 | Trustees Of The University Of Pennsylvania | Super resolution |
IL95934A (en) | 1989-10-16 | 1994-03-15 | Hughes Aircraft Co | Fast image decoder |
CA2031765C (en) * | 1989-12-08 | 1996-02-20 | Masahide Nomura | Method and system for performing control conforming with characteristics of controlled system |
US5218529A (en) * | 1990-07-30 | 1993-06-08 | University Of Georgia Research Foundation, Inc. | Neural network system and methods for analysis of organic materials and structures using spectral data |
US5175678A (en) * | 1990-08-15 | 1992-12-29 | Elsag International B.V. | Method and procedure for neural control of dynamic processes |
US5101270A (en) * | 1990-12-13 | 1992-03-31 | The Johns Hopkins University | Method and apparatus for radon transformation and angular correlation in optical processors |
US5377305A (en) * | 1991-10-01 | 1994-12-27 | Lockheed Sanders, Inc. | Outer product neural network |
US5414623A (en) * | 1992-05-08 | 1995-05-09 | Iowa State University Research Foundation | Optoelectronic system for implementation of iterative computer tomography algorithms |
US5311600A (en) | 1992-09-29 | 1994-05-10 | The Board Of Trustees Of The Leland Stanford Junior University | Method of edge detection in optical images using neural network classifier |
US5953452A (en) * | 1992-11-05 | 1999-09-14 | The Johns Hopkins University | Optical-digital method and processor for pattern recognition |
US5329478A (en) * | 1992-11-25 | 1994-07-12 | Kirk David B | Circuit and method for estimating gradients |
US5446776A (en) * | 1993-08-02 | 1995-08-29 | General Electric Company | Tomography with generation of radon data on polar grid points |
JPH07175876A (en) * | 1993-10-12 | 1995-07-14 | At & T Corp | Method and apparatus for control of feedback of process using neural network |
US5400255A (en) | 1994-02-14 | 1995-03-21 | General Electric Company | Reconstruction of images from cone beam data |
TW284869B (en) | 1994-05-27 | 1996-09-01 | Hitachi Ltd | |
US5481269A (en) * | 1994-05-27 | 1996-01-02 | Westinghouse Electric Corp. | General frame wavelet classifier |
US5677609A (en) * | 1994-07-28 | 1997-10-14 | National Semiconductor Corporation | Intelligent servomechanism controller |
US5687364A (en) * | 1994-09-16 | 1997-11-11 | Xerox Corporation | Method for learning to infer the topical content of documents based upon their lexical content |
US5504792A (en) | 1994-12-27 | 1996-04-02 | General Electric Company | Method and system for masking cone beam projection data generated from either a region of interest helical scan or a helical scan |
JPH08273247A (en) * | 1995-03-27 | 1996-10-18 | Sony Corp | Recorder |
IL117951A (en) * | 1995-09-06 | 1999-09-22 | 3T True Temperature Technologi | Method and apparatus for true temperature determination |
US5870502A (en) * | 1996-04-08 | 1999-02-09 | The Trustees Of Columbia University In The City Of New York | System and method for a multiresolution transform of digital image information |
US5784481A (en) | 1996-06-25 | 1998-07-21 | General Electric Company | CT cone beam image reconstruction with circle and line scan path |
US6208982B1 (en) | 1996-11-18 | 2001-03-27 | Lockheed Martin Energy Research Corporation | Method and apparatus for solving complex and computationally intensive inverse problems in real-time |
US5953388A (en) | 1997-08-18 | 1999-09-14 | George Mason University | Method and apparatus for processing data from a tomographic imaging system |
US5960055A (en) * | 1997-12-19 | 1999-09-28 | Siemens Corporate Research, Inc. | Fast cone beam image reconstruction using a detector weight list |
US6009142A (en) | 1998-03-31 | 1999-12-28 | Siemens Corporate Research, Inc. | Practical cone beam image reconstruction using local regions-of-interest |
US6560586B1 (en) | 1998-10-30 | 2003-05-06 | Alcatel | Multiresolution learning paradigm and signal prediction |
SE9902550D0 (en) | 1999-07-02 | 1999-07-02 | Astra Ab | New crystalline forms |
US6876779B2 (en) | 2000-01-24 | 2005-04-05 | Sony Côrporation | Method and apparatus of reconstructing audio/video/image data from higher moment data |
US6424737B1 (en) | 2000-01-24 | 2002-07-23 | Sony Corporation | Method and apparatus of compressing images using localized radon transforms |
-
2001
- 2001-01-22 US US09/767,279 patent/US6976012B1/en not_active Expired - Fee Related
- 2001-01-24 WO PCT/US2001/002426 patent/WO2001054060A2/en active Application Filing
- 2001-01-24 AU AU2001231139A patent/AU2001231139A1/en not_active Abandoned
-
2004
- 2004-12-20 US US11/019,045 patent/US20050114280A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
US20050114280A1 (en) | 2005-05-26 |
WO2001054060A2 (en) | 2001-07-26 |
WO2001054060A3 (en) | 2002-05-02 |
US6976012B1 (en) | 2005-12-13 |
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