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Machine learning method and system

A machine learning and algorithm technology, applied in the field of data modeling, can solve problems such as the influence of subjective factors

Pending Publication Date: 2021-03-09
南京明略科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a machine learning method and system to at least solve the problem of subjective factors in related technologies

Method used

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  • Machine learning method and system
  • Machine learning method and system
  • Machine learning method and system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] This embodiment provides a machine learning method. Please refer to Figure 1-Figure 7 , figure 1 is an architecture diagram of a machine learning method according to an embodiment of the present application; figure 2 is a data management framework diagram according to an embodiment of the application; image 3 is an algorithm management framework diagram according to an embodiment of the present application; Figure 4 is a task management framework diagram according to an embodiment of the present application; Figure 5 is a flowchart of a machine learning method according to an embodiment of the present application; Figure 6 is a flow chart of data storage steps according to an embodiment of the present application; Figure 7 It is a flow chart of algorithm management steps according to the embodiment of the present application. As shown in the figure, a machine learning method includes the following steps:

[0072] Model building step S1: building a device ob...

Embodiment 2

[0093] Please refer to Figure 8 , Figure 8 It is a structural schematic diagram of a machine learning system of the present invention. Such as Figure 8 As shown, a machine learning system invented is applicable to the above machine learning method, and the machine learning system includes:

[0094] Model building unit 41: building a device object model;

[0095] Data storage unit 42: encapsulate the big data platform interface, call the interface to store the data source information in the database, configure the mapping relationship between the model information and the field information of the device object model, and store the mapping relationship and the mapping data into said database;

[0096] Algorithm management unit: upload an algorithm, select the device object model, upload an algorithm file and a configuration file, analyze the algorithm parameters according to the information in the configuration file, and store the algorithm parameters in the database;

...

Embodiment 3

[0109] to combine Figure 9 As shown, this embodiment discloses a specific implementation manner of an electronic device. The electronic device may include a processor 81 and a memory 82 storing computer program instructions.

[0110] Specifically, the processor 81 may include a central processing unit (CPU), or an Application Specific Integrated Circuit (ASIC for short), or may be configured to implement one or more integrated circuits in the embodiments of the present application.

[0111] Among them, the memory 82 may include mass storage for data or instructions. For example without limitation, the memory 82 may include a hard disk drive (Hard Disk Drive, referred to as HDD), a floppy disk drive, a solid state drive (SolidState Drive, referred to as SSD), flash memory, optical disk, magneto-optical disk, magnetic tape or universal serial bus (Universal Serial Bus, referred to as USB) drive or a combination of two or more of the above. Storage 82 may comprise removable o...

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Abstract

The invention discloses a machine learning method and system. The machine learning method comprises the following steps: a model establishment step: establishing an equipment object model; a data storage step: storing a data source by mysql, and storing a mapping relationship between the field information and the equipment object model and mapping relationship data into a MySql database; an algorithm management step: packaging and uploading the algorithm file and the configuration file, and performing algorithm analysis according to the information of the configuration file; a training task creation step: creating a new training task and executing the training task according to an execution strategy; and a prediction task creation step of creating a new prediction task to execute the prediction task according to the execution strategy. The invention provides a one-stop machine learning platform based on PHM data modeling, the platform is based on actual business, a vertical field scenarized solution is provided for users, and the user development efficiency is improved.

Description

technical field [0001] This application relates to the field of data modeling, in particular to a machine learning method and system. Background technique [0002] Following the mobile Internet, Artificial Intelligence (AI) has come to the forefront of the industry. Whether it is a giant manufacturer or an upstart in the industry, they are vigorously developing AI technology to enhance their technological competitiveness and empower their own business. As the core of AI technology, machine learning is the foundation of computer intelligence. At present, machine learning has brought many applications, such as face recognition, knowledge graph, etc. All industries have high expectations for machine learning, but the contradiction is that the application threshold of machine learning technology is high. The processes all require specialized knowledge and require a lot of time to optimize each process. In order to solve the above problems, build a machine learning platform th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06F16/22G06F16/28G06N20/00
CPCG06F30/27G06F16/284G06F16/2282G06N20/00
Inventor 韩秀伟王道广
Owner 南京明略科技有限公司