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
CN107909141AInactive Publication Date: 2018-04-13WENZHOU UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
WENZHOU UNIVERSITY
Publication Date
2018-04-13
Estimated Expiration
Not applicable · inactive patent

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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.
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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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