Study on Forecasting Model of Enterprise Human Resource Based on Neural Network

摘要：

The demand forecasting of human resource is a very important work of the enterprise human resource management.Aiming at the complex influence factors.non-linearity.low precision of usual forecasting methods,influence factors of human resource structure forecasting are analyzed,the forecasting method based on the artificial neuraI network is proposed.and then a 6×18×18×12×3 BP network forecasting model is established.A fastest descent method with an additionaJ momentum item of variable step length is adopted to adjust network weights.The forecasting modeI is trained by using the enterprise’s correlative data as its inputs and outputs.and the parameters are determined finally.The test results indicate that the forecasting error of the forecasting model based on the artificial neural network is less than 5％,it is of high accuracy,wide SCOpe of application,self-learning and adaptive capacity and so on.

关键词： Forecasting model Human resource Neural network Enterprise

作者: Zhu Miaofen Chen Guojin

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 817-820

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）