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Neural network training method and device, equipment and medium

A neural network training and neural network technology, applied in the field of equipment and media, neural network training methods, and devices, can solve the problem of low accuracy and achieve the effect of improving accuracy

Pending Publication Date: 2021-06-22
CHINA MOBILE CHENGDU INFORMATION & TELECOMM TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, using the above-mentioned various methods to detect abnormal index data, the accuracy is low

Method used

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  • Neural network training method and device, equipment and medium
  • Neural network training method and device, equipment and medium
  • Neural network training method and device, equipment and medium

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Embodiment Construction

[0054] The characteristics and exemplary embodiments of various aspects of the present invention will be described in detail below. In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only configured to explain the present invention, not to limit the present invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present invention by showing examples of the present invention.

[0055] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and ...

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Abstract

The embodiment of the invention discloses a neural network training method and device, equipment and a medium. The method comprises the steps of obtaining at least one part of first data; each part of first data is collected by wearable equipment of a user and comprises human body sign data of the user, motion data of the user and data of an environment where the user is located; determining abnormal first data and normal first data in the at least one part of first data by using an isolated forest comprising at least one decision tree generated based on a rotation matrix; and based on the abnormal first data and the normal first data, training a neural network used for recognizing data collected by the wearable device of the user. According to the neural network training method and device, the equipment and the medium provided by the embodiment of the invention, the accuracy of recognizing the data acquired by the wearable equipment of the user can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a neural network training method, device, equipment and medium. Background technique [0002] A wearable device is a portable device that is worn directly on the body or integrated into the user's clothing or accessories. Wearable devices are not only a hardware device, but also achieve powerful functions through software support, data interaction, and cloud interaction. Wearable devices will bring great changes to our lives and perceptions. [0003] Wearable devices can be applied in the medical field. When the human body is equipped with wearable devices, various indicators can be monitored in real time. Physiological indicators such as body temperature, pulse, respiration, blood pressure, heart rate, sweat, sleep, calories, glucose level, etc., non-physiological indicators such as light, walking steps, speed, ambient temperature, ambient humidity, sound decibels, e...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08
CPCG06N3/08G06N3/045Y02A90/10
Inventor 胡冉杰李楠周冰彬张文军
Owner CHINA MOBILE CHENGDU INFORMATION & TELECOMM TECH CO LTD