College Graduates Employment Prediction Based on Principal Component Analysis and the Combined Adaptive Boosting and the Back Propagation Neural Network Algorithm

被引：0
|
作者：
Liu, Xiangyang [1 ]
Bao, Juan [1 ]
Jiang, Yan [1 ]
Ke, Zhunping [1 ]
Wang, Changbo [1 ]
机构：
[1] Hubei Univ Med, Inst Med & Nursing, Dept Comp Ctr, Shiyan 442000, Hubei, Peoples R China
来源：
2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2015年
关键词：
prediction of the college graduates employment; BP neural network; AdaBoost algorithm;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to improve the prediction accuracy of the back propagation (BP) neural network model, a prediction model is presented based on the combined adaptive boosting (AdaBoost) and the back propagation neural network algorithm. The efficiency of the proposed prediction model is proved by predicting the college graduates employment. The computer simulations have shown that this model is effective and suitable. It has higher prediction accuracy and is applicable to practice.
引用
收藏
页码：1133 / 1137
页数：5
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