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.

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.

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

IPC: G06N20/20 ,  G06F11/34

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.

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.