GB202305494D0 - Not yet published - Google Patents
Not yet publishedInfo
- Publication number
- GB202305494D0 GB202305494D0 GBGB2305494.3A GB202305494A GB202305494D0 GB 202305494 D0 GB202305494 D0 GB 202305494D0 GB 202305494 A GB202305494 A GB 202305494A GB 202305494 D0 GB202305494 D0 GB 202305494D0
- Authority
- GB
- United Kingdom
- Prior art keywords
- published
- 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.)
- Pending
Links
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/14—Rainfall or precipitation gauges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/18—Testing or calibrating meteorological apparatus
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/10—Pre-processing; Data cleansing
-
- 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
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
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- 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
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Environmental Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Ecology (AREA)
- Biodiversity & Conservation Biology (AREA)
- Atmospheric Sciences (AREA)
- Hydrology & Water Resources (AREA)
- Biomedical Technology (AREA)
- Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210523809.7A CN114755745B (en) | 2022-05-13 | 2022-05-13 | Hail weather identification and classification method based on multi-channel depth residual shrinkage network |
| PCT/CN2022/137785 WO2023216583A1 (en) | 2022-05-13 | 2022-12-09 | Hail weather identification and classification method based on multi-channel deep residual shrinkage network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| GB202305494D0 true GB202305494D0 (en) | 2023-05-31 |
| GB2621908A GB2621908A (en) | 2024-02-28 |
Family
ID=89834527
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB2305494.3A Pending GB2621908A (en) | 2022-05-13 | 2022-12-09 | Hail weather identification and classification method based on multi-channel deep residual shrinkage network |
Country Status (1)
| Country | Link |
|---|---|
| GB (1) | GB2621908A (en) |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108802733A (en) * | 2018-06-15 | 2018-11-13 | 安徽诺安信息科技有限公司 | A kind of algorithm that hail is detected based on weather radar data for communication |
| CN109581546B (en) * | 2018-10-30 | 2020-10-16 | 中国人民解放军国防科技大学 | Rainfall type identification method based on microwave link attenuation and polarization information |
| CN110543893A (en) * | 2019-08-07 | 2019-12-06 | 河海大学 | Microwave attenuation precipitation particle type identification method based on BP neural network |
| CN111666656A (en) * | 2020-05-09 | 2020-09-15 | 江苏微之润智能技术有限公司 | Rainfall estimation method and rainfall monitoring system based on microwave rainfall attenuation |
| CN114755745B (en) * | 2022-05-13 | 2022-12-20 | 河海大学 | Hail weather identification and classification method based on multi-channel depth residual shrinkage network |
-
2022
- 2022-12-09 GB GB2305494.3A patent/GB2621908A/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| GB2621908A (en) | 2024-02-28 |
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