DE69123867D1 - Lernverfahren für Datenverarbeitungsanlage - Google Patents
Lernverfahren für DatenverarbeitungsanlageInfo
- Publication number
- DE69123867D1 DE69123867D1 DE69123867T DE69123867T DE69123867D1 DE 69123867 D1 DE69123867 D1 DE 69123867D1 DE 69123867 T DE69123867 T DE 69123867T DE 69123867 T DE69123867 T DE 69123867T DE 69123867 D1 DE69123867 D1 DE 69123867D1
- Authority
- DE
- Germany
- Prior art keywords
- data processing
- processing system
- learning process
- learning
- data
- 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.)
- Expired - Fee Related
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
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/18—Extraction of features or characteristics of the image
- G06V30/1801—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes or intersections
- G06V30/18019—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes or intersections by matching or filtering
- G06V30/18038—Biologically-inspired filters, e.g. difference of Gaussians [DoG], Gabor filters
- G06V30/18048—Biologically-inspired filters, e.g. difference of Gaussians [DoG], Gabor filters with interaction between the responses of different filters, e.g. cortical complex cells
- G06V30/18057—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S706/00—Data processing: artificial intelligence
- Y10S706/90—Fuzzy logic
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2088163A JPH03288285A (ja) | 1990-04-04 | 1990-04-04 | データ処理装置の学習方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
DE69123867D1 true DE69123867D1 (de) | 1997-02-13 |
DE69123867T2 DE69123867T2 (de) | 1997-04-30 |
Family
ID=13935261
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
DE69123867T Expired - Fee Related DE69123867T2 (de) | 1990-04-04 | 1991-03-28 | Lernverfahren für Datenverarbeitungsanlage |
Country Status (5)
Country | Link |
---|---|
US (2) | US5257342A (de) |
EP (1) | EP0450522B1 (de) |
JP (1) | JPH03288285A (de) |
KR (1) | KR910018922A (de) |
DE (1) | DE69123867T2 (de) |
Families Citing this family (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH04216343A (ja) * | 1990-12-17 | 1992-08-06 | Sony Corp | 信号再生装置および方法 |
JPH05303626A (ja) * | 1992-04-27 | 1993-11-16 | Matsushita Electric Ind Co Ltd | 外観検査画像認識方法 |
US5495611A (en) * | 1992-06-22 | 1996-02-27 | International Business Machines Corporation | Method and apparatus for dynamic load of an ABIOS device support layer in a computer system |
DE69314293T2 (de) * | 1992-12-16 | 1998-04-02 | Koninkl Philips Electronics Nv | Neuronalanlage und -Bauverfahren |
JPH07200512A (ja) * | 1993-09-13 | 1995-08-04 | Ezel Inc | 最適化問題解決装置 |
JP3630734B2 (ja) * | 1994-10-28 | 2005-03-23 | キヤノン株式会社 | 情報処理方法 |
US5835633A (en) * | 1995-11-20 | 1998-11-10 | International Business Machines Corporation | Concurrent two-stage multi-network optical character recognition system |
US5966460A (en) * | 1997-03-03 | 1999-10-12 | Xerox Corporation | On-line learning for neural net-based character recognition systems |
DE19940577A1 (de) * | 1999-08-26 | 2001-03-01 | Wilex Biotechnology Gmbh | Verfahren zum Trainieren eines neuronalen Netzes |
US6721452B2 (en) | 2001-09-12 | 2004-04-13 | Auburn University | System and method of handwritten character recognition |
FR2846490B1 (fr) * | 2002-10-24 | 2005-01-14 | Suisse Electronique Microtech | Systeme d'analyse spatiale d'une grandeur physique |
MY138544A (en) | 2003-06-26 | 2009-06-30 | Neuramatix Sdn Bhd | Neural networks with learning and expression capability |
JP4660860B2 (ja) * | 2005-03-23 | 2011-03-30 | 富士フイルム株式会社 | 画像記録方法及び装置 |
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 |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4092631A (en) * | 1974-04-30 | 1978-05-30 | Sharp Kabushiki Kaisha | Pattern recognition systems |
US5054093A (en) * | 1985-09-12 | 1991-10-01 | Cooper Leon N | Parallel, multi-unit, adaptive, nonlinear pattern class separator and identifier |
US4874963A (en) * | 1988-02-11 | 1989-10-17 | Bell Communications Research, Inc. | Neuromorphic learning networks |
US5048100A (en) * | 1988-12-15 | 1991-09-10 | Michael Kuperstein | Self organizing neural network method and system for general classification of patterns |
JP2940933B2 (ja) * | 1989-05-20 | 1999-08-25 | 株式会社リコー | パターン認識方式 |
US5067164A (en) * | 1989-11-30 | 1991-11-19 | At&T Bell Laboratories | Hierarchical constrained automatic learning neural network for character recognition |
JPH03196277A (ja) * | 1989-12-25 | 1991-08-27 | Takayama:Kk | データ処理装置のための特徴データ選択方法 |
US5249259A (en) * | 1990-01-23 | 1993-09-28 | Massachusetts Institute Of Technology | Genetic algorithm technique for designing neural networks |
US5048097A (en) * | 1990-02-02 | 1991-09-10 | Eastman Kodak Company | Optical character recognition neural network system for machine-printed characters |
US5033066A (en) * | 1990-02-16 | 1991-07-16 | Hughes Aircraft Company | Event tagging time delay |
US5151951A (en) * | 1990-03-15 | 1992-09-29 | Sharp Kabushiki Kaisha | Character recognition device which divides a single character region into subregions to obtain a character code |
US5052043A (en) * | 1990-05-07 | 1991-09-24 | Eastman Kodak Company | Neural network with back propagation controlled through an output confidence measure |
-
1990
- 1990-04-04 JP JP2088163A patent/JPH03288285A/ja active Pending
-
1991
- 1991-03-28 EP EP91105034A patent/EP0450522B1/de not_active Expired - Lifetime
- 1991-03-28 DE DE69123867T patent/DE69123867T2/de not_active Expired - Fee Related
- 1991-04-03 KR KR1019910005358A patent/KR910018922A/ko active IP Right Grant
- 1991-04-03 US US07/680,117 patent/US5257342A/en not_active Expired - Fee Related
-
1994
- 1994-04-25 US US08/232,415 patent/US5528700A/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
EP0450522B1 (de) | 1997-01-02 |
EP0450522A2 (de) | 1991-10-09 |
KR910018922A (ko) | 1991-11-30 |
EP0450522A3 (en) | 1993-05-19 |
US5528700A (en) | 1996-06-18 |
JPH03288285A (ja) | 1991-12-18 |
DE69123867T2 (de) | 1997-04-30 |
US5257342A (en) | 1993-10-26 |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
8364 | No opposition during term of opposition | ||
8339 | Ceased/non-payment of the annual fee |