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公开(公告)号:US20230017215A1
公开(公告)日:2023-01-19
申请号:US17935120
申请日:2022-09-25
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Xudong Sun , Yanfang ZHANG , Qinglong CHANG , Liang ZHANG
IPC: G06F30/20
Abstract: A modeling method and an apparatus are disclosed. The method includes: obtaining a first data set of a first indicator, and determining, based on the first data set, a second indicator similar to the first indicator; and determining a first model based on one or more second models associated with the second indicator. The first model is used to detect a status of the first indicator, and the status of the first indicator includes an abnormal state or a normal state. The second models are used to detect a status of the second indicator, and the status of the second indicator includes an abnormal state or a normal state.
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公开(公告)号:US20220284352A1
公开(公告)日:2022-09-08
申请号:US17826314
申请日:2022-05-27
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Qinglong CHANG , Yanfang ZHANG , Xudong SUN , Li XUE , Liang ZHANG
IPC: G06N20/00
Abstract: A model update system, which may be applied to the network control field, includes a site analysis device and a first analysis device. The site analysis device is configured to: receive a first model sent by the first analysis device; train the first model by using a first training sample to obtain a second model, where the first training sample includes first feature data of a network device in a site network corresponding to the site analysis device; obtain differential data between the first model and the second model; and send the differential data to the first analysis device. The first analysis device is configured to: send the first model to the site analysis device; receive the differential data sent by the site analysis device; and update the first model based on the differential data to obtain a third model.
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公开(公告)号:US20220207434A1
公开(公告)日:2022-06-30
申请号:US17696593
申请日:2022-03-16
Applicant: Huawei Technologies Co., Ltd.
Inventor: Li XUE , Yanfang ZHANG , Hao ZHANG , Liang ZHANG , Yang LI
Abstract: This application discloses a model training method, apparatus, and system, and belongs to the AI field. The method includes: receiving a machine learning model sent by a first analysis device; and performing incremental training on the machine learning model based on a first training sample set, where feature data in the first training sample set is feature data from a local network corresponding to a local analysis device. In this application, a problem that the machine learning model obtained through offline training cannot be effectively adapted to a requirement of the local analysis device is resolved. Embodiments of this application are used to predict a classification result.
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公开(公告)号:US20200067629A1
公开(公告)日:2020-02-27
申请号:US16664194
申请日:2019-10-25
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Jie XIONG , Yanfang ZHANG , Ligang FENG , Jian CHENG
IPC: H04L1/00 , H04N17/00 , H04N19/89 , H04N19/154
Abstract: A video quality assessment method and device are provided. The video quality assessment method includes: obtaining a to-be-assessed video, where the to-be-assessed video includes a forward error correction (FEC) redundancy data packet; when a quantity of lost data packets of a first source block in the to-be-assessed video is less than or equal to a quantity of FEC redundancy data packets of the first source block, generating a first summary packet for a non-lost data packet of the first source block, and generating a second summary packet for a lost data packet of the first source block; and calculating a mean opinion score of video (MOSV) of the to-be-assessed video based on the first summary packet and the second summary packet. The MOSV calculated according to the method is more consistent with real video experience of a user, so accuracy of video quality assessment can be improved.
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