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Data processing learning method, system and electronic device

A technology of data processing and learning methods, applied in the field of data processing, can solve problems such as reducing the efficiency of the learning process

Active Publication Date: 2021-03-02
深圳码隆智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide a data processing and learning method, system and electronic equipment to solve the problems existing in the prior art, such as automation systems, in the process of learning and training data processing rules due to various original A large amount of noise data in the data affects the process of learning and training the data processing rules, thus reducing the efficiency of the learning process.

Method used

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  • Data processing learning method, system and electronic device
  • Data processing learning method, system and electronic device
  • Data processing learning method, system and electronic device

Examples

Experimental program
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Effect test

Embodiment 1

[0045] In a data processing learning method provided by an embodiment of the present invention, the data processing process may be a process of recognizing an object in an image. like figure 1 shown, including:

[0046] S11: Perform initial data processing on the first target data to obtain characteristic data;

[0047] As another implementation of this embodiment, elements and features in the image can also be extracted from the first target data according to a data processing model to obtain feature data.

[0048] S12: Divide each data type in the feature data into multiple data sets through a clustering algorithm;

[0049] S13: Calculate the characteristic data density in each data set to obtain a density value;

[0050] S14: Sort the multiple data sets according to the density value to obtain the maximum density value data set;

[0051] S15: Form a data processing model according to the maximum density value data set in each data type.

[0052] The data processing mod...

Embodiment 2

[0055] In a data processing learning method provided by an embodiment of the present invention, the data processing process may also be a process of recognizing an object in an image. like figure 2 shown, including:

[0056] S21: Perform feature extraction on the first target data according to the data processing model to obtain feature data.

[0057] Specifically, elements and features in the image can also be extracted from the first target data according to the data processing model to obtain feature data.

[0058] S22: Divide the characteristic data into several data types through a clustering algorithm, and divide the characteristic data in each data type into multiple data sets.

[0059] S23: Calculate the characteristic data density in each data set to obtain a density value;

[0060] S24: Sort the multiple data sets from large to small according to the density value to obtain a data set with the largest density value.

[0061] S25: Combine the maximum density valu...

Embodiment 3

[0067] A data processing learning system provided by an embodiment of the present invention, such as image 3 As shown, the data processing and learning system 3 may include: an initial processing module 31 , a clustering module 32 , a density calculation module 33 , a density sorting module 34 and a model forming module 35 .

[0068] As a preferred solution, the initial processing module 31 may be configured to perform initial data processing on the first target data to obtain characteristic data. The clustering module 32 can be used to divide each data type in the feature data into a plurality of data sets through a clustering algorithm.

[0069] Further, the density calculation module 33 can be used to calculate the characteristic data density in each data set to obtain a density value. The density sorting module 34 can be used to sort the multiple data sets according to the density value to obtain the maximum density value data set;

[0070] In practical applications, th...

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Abstract

The invention provides a data processing and learning method, system and electronic equipment, and relates to the technical field of data processing. The data processing and learning method includes: performing initial data processing on the first target data to obtain feature data; Each data type is divided into multiple data sets; calculate the characteristic data density in each data set to obtain the density value; sort multiple data sets according to the density value to obtain the maximum density value data set; according to each data type The maximum density value data set in the data set forms a data processing model; wherein, the data processing model is used to perform initial data processing on the second target data, which solves the problem of learning and training of data processing rules in existing systems such as automation. In the process, the process of learning and training the data processing rules will be affected due to a large amount of noise data in various raw data, thereby reducing the technical problem of the efficiency of the learning process.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a data processing learning method, system and electronic device. Background technique [0002] Data is an expression of facts, concepts or instructions that can be processed by automated means. When data is interpreted and given meaning, it becomes information. Data processing is the collection, storage, retrieval, processing, transformation and transmission of data. [0003] At present, the basic purpose of data processing is to extract and derive valuable and meaningful data for some specific people from a large amount of data that may be disorganized and difficult to understand. Data processing is the basic link of system engineering and automatic control. Data processing is the technical process of analyzing and processing data. The process of data processing includes the processing and processing of various raw data analysis, sorting, calculation, editing...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 黄鼎隆马修·罗伯特·斯科特傅恺郭胜
Owner 深圳码隆智能科技有限公司
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