现代电子技术2018，Vol.41Issue(9)：157-160,4.DOI:10.16652/j.issn.1004-373x.2018.09.034
基于数据驱动的人力资源成本评估算法
Human resource cost evaluation algorithm based on data driving
摘要
Abstract
Since the current human resource cost evaluation algorithm has the problems of low accuracy and poor effect,a human resource cost evaluation algorithm based on data driving is designed to improve the evaluation accuracy of human re?source cost. The data of human resource cost assessment is collected,and reconstructed with chaos theory to restore the change characteristics of human resource cost. The extreme learning machine is used to establish the human resource cost evaluation al?gorithm,and optimized with particle swarm optimization algorithm. The simulation experiment was performed for the human re?source cost assessment. The results show this algorithm can reflect the change characteristics of the human resource cost,im?prove the assessment results of human resource cost,obtain better results than other human resource cost evaluation models, and has wide application prospect.关键词
人力管理/资源成本/评估模型/数据驱动/极限学习机/粒子群算法Key words
manpower management/resource cost/evaluation model/data driving/extreme learning machine/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
辛占华,聂婷..基于数据驱动的人力资源成本评估算法[J].现代电子技术,2018,41(9):157-160,4.
