Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data processing method based on machine learning and related equipment

A data processing and machine learning technology, applied in the field of communication, can solve problems such as the impact of business experience and the increase of interaction delay.

Pending Publication Date: 2019-08-13
HUAWEI TECH CO LTD
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a data processing method and related equipment based on machine learning, which are used to solve the problem in the prior art that the service experience is affected due to the increase of interaction delay

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data processing method based on machine learning and related equipment
  • Data processing method based on machine learning and related equipment
  • Data processing method based on machine learning and related equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0061] With the continuous improvement of machine learning, we have the opportunity to extract potentially useful information and rules from massive data sets. The main purpose of machine learning is to extract useful features, and then construct a mapping from features to labels based on existing examples. Among them, the label is used to distinguish the data, and the feature is used to describe the characteristics of the data. It can be understood that the feature is the basis for making a certain judgment on the data, and the label is the conclusion made on the data. In practical applications, machine learning can include the following steps:

[0062] Step 1. Data collection: refers to obtaining various types of raw data from the objects that generate the data set, and s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses a data processing method based on machine learning and related equipment, which are used for solving the problem that the service experience is influenced dueto the increase of interaction time delay in the prior art. The method comprises: a first network element receiving installation information of an algorithm model from a second network element, the first network element being a user plane network element UPF or a base station, and the second network element being used for training the algorithm model; the first network element installing the algorithm model according to the installation information of the algorithm model; and after the algorithm model is installed successfully, the first network element collecting data and predicting the dataaccording to the algorithm model.

Description

technical field [0001] The present application relates to the communication field, and in particular to a machine learning-based data processing method and related equipment. Background technique [0002] Machine learning (ML) is a multi-field interdisciplinary subject that studies how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve themselves. performance. With the advent of the era of big data, machine learning, especially deep learning for large-scale data, is receiving more and more attention and applications, including the application of machine learning in wireless communication networks. [0003] Machine learning can include steps such as data acquisition, feature engineering, training, and prediction. In a wireless communication network, in the prior art, these steps are integrated and executed in one network element, which may be called a network data ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N3/08G06K9/62
CPCG06N3/08G06F18/2411G06F18/24323G06F18/214G06N20/20G06N3/084H04W24/04G06N5/01G06N3/047G06N7/01G06N3/048G06N3/045G06F18/00H04L41/16G06F18/27
Inventor 徐以旭王岩张进王园园
Owner HUAWEI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com