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Data analysis method and device based on grey wolf optimization algorithm

An optimization algorithm and data analysis technology, applied in the computer field, to achieve the effect of enhancing local search ability, improving accuracy, and enhancing global detection ability

Inactive Publication Date: 2018-04-13
WENZHOU UNIVERSITY
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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a data analysis method and device based on the gray wolf optimization algorithm to solve the problem in the prior art that the data cannot be analyzed accurately and quickly to obtain accurate analysis results

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  • Data analysis method and device based on grey wolf optimization algorithm
  • Data analysis method and device based on grey wolf optimization algorithm
  • Data analysis method and device based on grey wolf optimization algorithm

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Embodiment Construction

[0024] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0025] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0026] Such as figure 1 as shown, figure 1 It is a flowchart of a data analysis method based on the gray wolf optimization algorithm provided by the embodiment of the present invention. In this implementation, the execution subject of the data analysis method based o...

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Abstract

The invention belongs to the technical field of computers and provides a data analysis method and device based on a grey wolf optimization algorithm. The method comprises steps of acquiring to-be-analyzed data; according to the preset searching space, through the gray wolf optimization algorithm, calculating a penalty coefficient and a nuclear width of a wolf group; and according to the penalty coefficient, the nuclear width and a preset analysis model, analyzing the to-be-analyzed data so as to obtain an analysis result. According to the invention, by introducing a reverse learning mechanism,the penalty coefficient and the nuclear width of the wolf group are calculated in the gray wolf optimization algorithm, so a parameter optimal solution of the preset analysis model is obtained. Thus,the specifies of the gray wolves in the wolf group are extended; the global detection ability of the algorithm is improved; and by analyzing the to-be-analyzed data is performed through the analysismodel, so the precise analysis result is rapidly obtained.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a data analysis method and device based on a gray wolf optimization algorithm. Background technique [0002] At present, big data technology mainly obtains useful data from huge data, and then analyzes and processes the data. Especially in the era of information explosion, people are covered by countless information. To achieve intelligent processing of big data and improve the level of data processing, it is necessary to continuously introduce artificial intelligence technology. The management, analysis, and visualization of big data are all related to people. closely related. Nowadays, artificial intelligence technologies such as machine learning, data mining, natural language understanding, and pattern recognition have fully penetrated into various programs of big data and become an important part of them. [0003] Some machine learning methods are provided in ...

Claims

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Application Information

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IPC IPC(8): G06N3/00G06K9/62
CPCG06N3/006G06F18/2411
Inventor 陈慧灵罗杰赵学华蔡振闹童长飞黄辉
Owner WENZHOU UNIVERSITY
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