CA3050951A1 - Estimation du risque d'usine au moyen de donnees historiques d'inspection - Google Patents
Estimation du risque d'usine au moyen de donnees historiques d'inspection Download PDFInfo
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- CA3050951A1 CA3050951A1 CA3050951A CA3050951A CA3050951A1 CA 3050951 A1 CA3050951 A1 CA 3050951A1 CA 3050951 A CA3050951 A CA 3050951A CA 3050951 A CA3050951 A CA 3050951A CA 3050951 A1 CA3050951 A1 CA 3050951A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- Testing And Monitoring For Control Systems (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201962864947P | 2019-06-21 | 2019-06-21 | |
US62/864,947 | 2019-06-21 |
Publications (1)
Publication Number | Publication Date |
---|---|
CA3050951A1 true CA3050951A1 (fr) | 2019-10-11 |
Family
ID=68162714
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA3050951A Pending CA3050951A1 (fr) | 2019-06-21 | 2019-07-31 | Estimation du risque d'usine au moyen de donnees historiques d'inspection |
Country Status (3)
Country | Link |
---|---|
CN (1) | CN112116184A (fr) |
CA (1) | CA3050951A1 (fr) |
WO (1) | WO2020257782A1 (fr) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111024898A (zh) * | 2019-12-30 | 2020-04-17 | 中国科学技术大学 | 一种基于CatBoost模型的车辆尾气浓度超标判别方法 |
CN112561082A (zh) * | 2020-12-22 | 2021-03-26 | 北京百度网讯科技有限公司 | 生成模型的方法、装置、设备以及存储介质 |
CN114066077A (zh) * | 2021-11-22 | 2022-02-18 | 哈尔滨工业大学 | 基于应急事件空间警兆分析的环卫风险预测方法 |
CN117422306A (zh) * | 2023-10-30 | 2024-01-19 | 广州金财智链数字科技有限公司 | 基于动态神经网络的跨境电商风险控制方法及系统 |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA3053894A1 (fr) * | 2019-07-19 | 2021-01-19 | Inspectorio Inc. | Prediction de defauts a l'aide de donnees historiques d'inspection |
CN112598519A (zh) * | 2020-12-28 | 2021-04-02 | 深圳市佑荣信息科技有限公司 | 基于nlp技术的应收账款质押转让登记财产的系统及方法 |
CN113177585B (zh) * | 2021-04-23 | 2024-04-05 | 上海晓途网络科技有限公司 | 一种用户分类方法、装置、电子设备及存储介质 |
CN113822755B (zh) * | 2021-09-27 | 2023-09-05 | 武汉众邦银行股份有限公司 | 一种特征离散化技术对个人用户信用风险的识别方法 |
CN113888019A (zh) * | 2021-10-22 | 2022-01-04 | 山东大学 | 一种基于神经网络的人员动态风险评估方法及系统 |
CN117726181B (zh) * | 2024-02-06 | 2024-04-30 | 山东科技大学 | 一种煤矿典型灾害风险异构信息协同融合与分级预测方法 |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2015179778A1 (fr) * | 2014-05-23 | 2015-11-26 | Datarobot | Systèmes et techniques pour une analyse de données prédictive |
US9671776B1 (en) * | 2015-08-20 | 2017-06-06 | Palantir Technologies Inc. | Quantifying, tracking, and anticipating risk at a manufacturing facility, taking deviation type and staffing conditions into account |
CN108415393A (zh) * | 2018-04-19 | 2018-08-17 | 中江联合(北京)科技有限公司 | 一种砷化镓产品质量一致性控制方法及系统 |
CN109492945A (zh) * | 2018-12-14 | 2019-03-19 | 深圳壹账通智能科技有限公司 | 企业风险识别监控方法、装置、设备及存储介质 |
-
2019
- 2019-07-31 CA CA3050951A patent/CA3050951A1/fr active Pending
- 2019-08-21 CN CN201910771217.5A patent/CN112116184A/zh active Pending
-
2020
- 2020-06-22 WO PCT/US2020/038984 patent/WO2020257782A1/fr active Application Filing
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111024898A (zh) * | 2019-12-30 | 2020-04-17 | 中国科学技术大学 | 一种基于CatBoost模型的车辆尾气浓度超标判别方法 |
CN111024898B (zh) * | 2019-12-30 | 2021-07-06 | 中国科学技术大学 | 一种基于CatBoost模型的车辆尾气浓度超标判别方法 |
CN112561082A (zh) * | 2020-12-22 | 2021-03-26 | 北京百度网讯科技有限公司 | 生成模型的方法、装置、设备以及存储介质 |
EP3893169A3 (fr) * | 2020-12-22 | 2021-12-29 | Beijing Baidu Netcom Science And Technology Co., Ltd. | Procédé, appareil et dispositif de génération de modèle et support d'enregistrement |
JP2022033695A (ja) * | 2020-12-22 | 2022-03-02 | ベイジン バイドゥ ネットコム サイエンス テクノロジー カンパニー リミテッド | モデルを生成するための方法、装置、電子機器、記憶媒体、及びコンピュータプログラム製品 |
CN114066077A (zh) * | 2021-11-22 | 2022-02-18 | 哈尔滨工业大学 | 基于应急事件空间警兆分析的环卫风险预测方法 |
CN114066077B (zh) * | 2021-11-22 | 2022-09-13 | 哈尔滨工业大学 | 基于应急事件空间警兆分析的环卫风险预测方法 |
CN117422306A (zh) * | 2023-10-30 | 2024-01-19 | 广州金财智链数字科技有限公司 | 基于动态神经网络的跨境电商风险控制方法及系统 |
Also Published As
Publication number | Publication date |
---|---|
WO2020257782A1 (fr) | 2020-12-24 |
CN112116184A (zh) | 2020-12-22 |
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