AU756987B2 - N-tuple or ram based neural network classification system and method - Google Patents
N-tuple or ram based neural network classification system and method Download PDFInfo
- Publication number
- AU756987B2 AU756987B2 AU22656/99A AU2265699A AU756987B2 AU 756987 B2 AU756987 B2 AU 756987B2 AU 22656/99 A AU22656/99 A AU 22656/99A AU 2265699 A AU2265699 A AU 2265699A AU 756987 B2 AU756987 B2 AU 756987B2
- Authority
- AU
- Australia
- Prior art keywords
- weight
- values
- cell values
- training
- column
- 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.)
- Ceased
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
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DK0162/98 | 1998-02-05 | ||
DK16298 | 1998-02-05 | ||
EP98201910 | 1998-06-09 | ||
EP98201910A EP0935212B9 (en) | 1998-02-05 | 1998-06-09 | N-Tuple or ram based neural network classification system and method |
PCT/DK1999/000052 WO1999040521A1 (en) | 1998-02-05 | 1999-02-02 | N-tuple or ram based neural network classification system and method |
Publications (2)
Publication Number | Publication Date |
---|---|
AU2265699A AU2265699A (en) | 1999-08-23 |
AU756987B2 true AU756987B2 (en) | 2003-01-30 |
Family
ID=26063433
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
AU22656/99A Ceased AU756987B2 (en) | 1998-02-05 | 1999-02-02 | N-tuple or ram based neural network classification system and method |
Country Status (8)
Country | Link |
---|---|
JP (1) | JP2002503002A (zh) |
CN (1) | CN1227608C (zh) |
AU (1) | AU756987B2 (zh) |
CA (1) | CA2318502C (zh) |
IL (1) | IL137337A0 (zh) |
NZ (1) | NZ506053A (zh) |
PL (1) | PL343114A1 (zh) |
WO (1) | WO1999040521A1 (zh) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6995629B2 (ja) * | 2018-01-05 | 2022-01-14 | 日本電信電話株式会社 | 演算回路 |
CN110163334B (zh) * | 2018-02-11 | 2020-10-09 | 上海寒武纪信息科技有限公司 | 集成电路芯片装置及相关产品 |
CN110197274B (zh) * | 2018-02-27 | 2020-08-25 | 上海寒武纪信息科技有限公司 | 集成电路芯片装置及相关产品 |
CN110197264B (zh) * | 2018-02-27 | 2020-08-04 | 上海寒武纪信息科技有限公司 | 神经网络处理器板卡及相关产品 |
CN110197275B (zh) * | 2018-02-27 | 2020-08-04 | 上海寒武纪信息科技有限公司 | 集成电路芯片装置及相关产品 |
CN110197267B (zh) * | 2018-02-27 | 2020-08-04 | 上海寒武纪信息科技有限公司 | 神经网络处理器板卡及相关产品 |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1992000572A1 (en) * | 1990-06-29 | 1992-01-09 | University College London | Neural processing devices with learning capability |
-
1999
- 1999-02-02 JP JP2000530867A patent/JP2002503002A/ja active Pending
- 1999-02-02 CA CA002318502A patent/CA2318502C/en not_active Expired - Lifetime
- 1999-02-02 CN CNB998027618A patent/CN1227608C/zh not_active Expired - Fee Related
- 1999-02-02 IL IL13733799A patent/IL137337A0/xx unknown
- 1999-02-02 PL PL99343114A patent/PL343114A1/xx unknown
- 1999-02-02 AU AU22656/99A patent/AU756987B2/en not_active Ceased
- 1999-02-02 NZ NZ506053A patent/NZ506053A/xx unknown
- 1999-02-02 WO PCT/DK1999/000052 patent/WO1999040521A1/en active IP Right Grant
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1992000572A1 (en) * | 1990-06-29 | 1992-01-09 | University College London | Neural processing devices with learning capability |
Also Published As
Publication number | Publication date |
---|---|
NZ506053A (en) | 2003-02-28 |
IL137337A0 (en) | 2001-07-24 |
CN1290367A (zh) | 2001-04-04 |
PL343114A1 (en) | 2001-07-30 |
JP2002503002A (ja) | 2002-01-29 |
CN1227608C (zh) | 2005-11-16 |
WO1999040521A1 (en) | 1999-08-12 |
AU2265699A (en) | 1999-08-23 |
CA2318502C (en) | 2008-10-07 |
CA2318502A1 (en) | 1999-08-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Balakrishnan et al. | A study of the classification capabilities of neural networks using unsupervised learning: A comparison with K-means clustering | |
Jo et al. | Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction | |
Pham et al. | Control chart pattern recognition using a new type of self-organizing neural network | |
Hoffmann et al. | Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms | |
Khan et al. | Multi-objective feature subset selection using non-dominated sorting genetic algorithm | |
CN111542843A (zh) | 利用协作生成器积极开发 | |
Gençay et al. | Degree of mispricing with the Black-Scholes model and nonparametric cures | |
Trabelsi et al. | Classification systems based on rough sets under the belief function framework | |
AU753822B2 (en) | N-tuple or ram based neural network classification system and method | |
Curti et al. | What drives the scatter of local star-forming galaxies in the BPT diagrams? A Machine Learning based analysis | |
US6393413B1 (en) | N-tuple or RAM based neural network classification system and method | |
Alizadeh et al. | An adaptive neuro‐fuzzy system for stock portfolio analysis | |
AU756987B2 (en) | N-tuple or ram based neural network classification system and method | |
Walley et al. | Biological monitoring: a comparison between Bayesian, neural and machine learning methods of water quality classification | |
Gajowniczek et al. | Generalized entropy cost function in neural networks | |
Chadwick et al. | International trade and economic integration: Further developments in trade matrix analysis | |
Zhao et al. | A new hybrid model for multi-step WTI futures price forecasting based on self-attention mechanism and spatial–temporal graph neural network | |
Benediktsson et al. | Parallel consensual neural networks | |
Alakus et al. | RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests | |
Davies et al. | Dagger: A new approach to combining multiple models learned from disjoint subsets | |
Wilkowski et al. | Application of artificial neural networks for real estate valuation | |
Hardin et al. | BNPL Probability of Default Modeling Including Macroeconomic Factors: A Supervised Learning Approach | |
Maghsoudi et al. | Weighted combination of multiple classifiers for the classification of hyperspectral images using a genetic algorithm | |
Georgiadou et al. | Estimating the far right vote with aggregate data | |
Evjen | Analysis of the probability of default in peer-to-peer lending. Application of different classification techniques. |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
FGA | Letters patent sealed or granted (standard patent) |