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

页码：1133 / 1137

页数：5

共 50 条

[41] THE APPLICATION OF GENETIC ALGORITHM AND BACK PROPAGATION NEURAL NETWORK IN PREDICTION FOR RESPIRATORY MOTION
Xu, Zihai
Tong, Lei
Huang, Zhiye
Zhu, Chaohua
Chen, Chaomin
JOURNAL OF INVESTIGATIVE MEDICINE, 2013, 61 (04) : S1 - S1
[42] Chronic Kidney Disease Prediction Using Back Propagation Neural Network Algorithm
Borisagar, Nilesh
Barad, Dipa
Raval, Priyanka
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMMUNICATION AND NETWORKS, 2017, 508 : 295 - 303
[43] Near Infrared Multi-component Prediction Model Based on Principal Component Analysis and Wavelet Neural Network
Tang Shou-Peng
Yao Xin-Feng
Yao Xia
Tian Yong-Chao
Cao Wei-Xing
Zhu Yan
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2009, 37 (10) : 1445 - 1450
[44] Roller Parameters Prediction of Steel Tube Based on Principal Component Analysis and BP Neural Network
Feng, Xu
Gao, Qiang
Liu, Mingyuan
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 4627 - 4631
[45] Nonlinear principal component analysis based on RBF neural network and principal curve
Jia, Mingxing
Zhao, Chunhui
Wang, Fuli
Mao, Zhizhong
Li, Hongru
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2008, 29 (03): : 453 - 457
[46] Short-term electricity price prediction based on resilient adaptive artificial fish school algorithm and back propagation neural network hybrid algorithm
Shi, Biao
Li, Yuxia
Yu, Xinhua
Yan, Wang
Li, Na
Meng, Xin
Li, Peng
Shuili Fadian Xuebao/Journal of Hydroelectric Engineering, 2010, 29 (01): : 106 - 113
[47] Prediction of Converter Tapping Weight Based on Principal Component Analysis-Whale Optimization Algorithm-Backpropagation Algorithm Neural Network Model
Xue, Chao
Xu, Weili
Bao, Yanping
Zhao, Lihua
Liu, Xin
Zheng, Ruixuan
STEEL RESEARCH INTERNATIONAL, 2024, 95 (03)
[48] Classification of College Students' Mobile Learning Strategies Based on Principal Component Analysis and Probabilistic Neural Network
Hu, Shuai
Cheng, Yingxin
PROCEEDINGS OF 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2015), 2015, : 58 - 61
[49] Principal component analysis based probability neural network optimization
Xing, Jie
Xiao, Deyun
Yu, Jiaxiang
ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 2, PROCEEDINGS, 2007, 4492 : 1072 - +
[50] RETRACTED: Forecast of the Employment Situation of College Graduates Based on the LSTM Neural Network (Retracted Article)
Li, Xing
Yang, Ting
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021

← 1 2 3 4 5 →