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
辛占华,聂婷
摘要(Abstract)：
针对当前人力资源成本评估算法存在准确度低、效果差等难题,为了提高人力资源成本评估精度,设计了基于数据驱动的人力资源成本评估算法。收集人力资源成本评估数据,并采用混沌理论对数据进行重构,还原人力资源成本变化特点,通过极限学习机建立人力资源成本评估算法,并通过粒子群算法对极限学习机进行优化,最后进行了人力资源成本评估仿真实验。结果表明,所提算法可以反映人力资源成本的变化特点,改善了人力资源成本的评估结果,获得了比其他人力资源成本评估模型更优的结果,具有广泛的应用前景。
关键词(KeyWords)： 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
基金项目(Foundation):
作者(Author): 辛占华,聂婷
DOI: 10.16652/j.issn.1004-373x.2018.09.034
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