In order to effectively study the human resource demand of electric power enterprises,the grey correlation method is used to analyze the factors affecting the human resource demand of enterprises.Considering the low accuracy of traditional grey correlation methods in the prediction process,this paper introduces particle swarm optimization support vector machine to build an intelligent prediction model,uses the main factors obtained by grey correlation method as inputs to achieve prediction of en-terprise human resource demand.In the comparison of management department forecasts,the actual demand for the department in June 2019 is 8 people,and the proposed method predicted the demand to be consistent with the actual number,while the oth-er two methods has errors in their predictions.It can be seen that the proposed technology has excellent application effects,and can provide technical reference for talent management and enterprise information detection in electric power enterprises.
关键词
灰色关联法/电力企业/支持向量机/粒子群算法/需求预测
Key words
grey correlation method/electric power enterprise/support vector machine/particle swarm algorithm/demand pre-diction
维普
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