基于神经网络的人力资源管理和预测模型研究  

Research on Human Resource Management and Prediction Model Based on Neural Network

作　　者：黄珈颉 HUANG Jiajie(The Second Affiliated Hospital of Hebei North University,Zhangjiakou 075100,China)

机构地区：[1]河北北方学院附属第二医院,河北张家口075100

出　　处：《微型电脑应用》2022年第4期152-155,共4页Microcomputer Applications

摘　　要：如何挖掘和分析企业人力资源数据,为人力资源管理者提供科学合理的决策方案是企业发展壮大的重要前提。通过分析企业人力资源数据特点,建立了基于神经网络的人力资源管理模型,并设计了基于该模型的人力资源管理和预测分析系统,开展了企业人力资源预测模型研究。结果发现基于神经网络的人力资源管理系统能够弥补传统人力资源计算模型中非线性计算能力的不足。通过大量样本数据分析,优化了该算法的设计和流程,以X医院2010~2020年人力资源数据为实例,验证该算法与企业人力资源预测的误差率在0.5%~1.27%范围内,取得了较为合理的预测成果。Mining and analyzing the human resource data of enterprises and providing scientific and reasonable decision-making scheme for human resource managers is an important prerequisite for the development of enterprises.Based on the analysis of the characteristics of enterprise human resource data,this paper establishes a human resource management model based on neural network learning algorithm,designs a human resource management and prediction analysis system based on the model,and carries out the research on enterprise human resource prediction model.The results show that the human resource management system based on neural network learning algorithm can make up for the lack of nonlinear computing ability in the traditional human resource calculation model.Through the analysis of a large number of sample data,the design and process of the algorithm are optimized.Taking the human resource data of a X Hospital from 2010 to 2020 as an example,it is verified that the error rate between the algorithm and the enterprise human resource prediction is in the range of 0.5%~1.27%,and a more reasonable prediction result is achieved.

关 键 词：神经网络 学习算法 人力资源管理 人力资源预测 

分 类 号：F272[经济管理—企业管理]