首页 | 本学科首页   官方微博 | 高级检索  
     检索      

BP神经网络在大学毕业生就业率预测中的研究与应用
引用本文:马丹丹,于占龙,刘越.BP神经网络在大学毕业生就业率预测中的研究与应用[J].佳木斯大学学报,2014(5):751-753.
作者姓名:马丹丹  于占龙  刘越
作者单位:佳木斯大学信息电子技术学院,黑龙江 佳木斯,154007
摘    要:为能更好掌握高校毕业生就业趋势,本文以佳木斯大学2002~2012年本科毕业生就业率为依据,利用神经网络方法,构建了BP神经网络预测模型.通过对所建模型训练学习可知,该网络最大误差为3.36%,满足预期要求.最后,对佳木斯大学2013-2015年本科毕业生就业率进行了预测,以期为相关部门工作提供参考依据.

关 键 词:大学生  就业率  BP神经网络  预测

Research on Application of BP Neural Network in Predicting Employment Rate of College Graduates
MA Dan-dan,YU Zhan-long,LIU Yue.Research on Application of BP Neural Network in Predicting Employment Rate of College Graduates[J].Journal of Jiamusi University(Natural Science Edition),2014(5):751-753.
Authors:MA Dan-dan  YU Zhan-long  LIU Yue
Institution:(College of Information & Electronic Engineering, Jiamusi University, Jiamusl 154007, China)
Abstract:To better grasp the college graduates employment trends , BP Neural Network prediction model was established using Neural network method based on the employment rate of college graduates in Jiamusi Uni -versity from 2002 to 2012.It can be seen that the maximum error of this network was 3.36%, meeting the ex-pected requirement .Last , the employment rate of college graduates from 2013 to 2015 was predicted , offering reference to related department .
Keywords:college graduates  employment rate  BP neural network  prediction
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号