A Risk Prediction Model of Construction Enterprise Human Resources Based on Support Vector Machine

被引：3
|
作者：
Li, Wanqing [1 ]
Xu, Shipeng [1 ]
Meng, Wenqing [2 ]
机构：
[1] HeBei Univ Engn, Sch Econ & Management, Handan, Peoples R China
[2] HeBei Univ Engn, Sch Civil Engn, Handan, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS | 2009年
关键词：
Support Vector Machines; construction enterprises; risk of human resources; prediction;
D O I：
10.1109/ICICTA.2009.235
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to solve the problem of large Sample and low resolution problems in predicting the risk of human resource of construction enterprises, a new method based on support vector machine is proposed in this paper. By introducing the theoretical base of SVM (support vector machine), the model based on SVM can rationally solve the large sample and low resolution problems in Genetic Algorithm and other prediction method. For illustration, a risk prediction of human resource in construction enterprises example is utilized to show the feasibility of the SVM model in solving predicting problem. The final results show that the SVM model is a new and effectual method for predicting the risk of human resource in construction enterprises and provide a new research thought and method for predicting risk in other fields.
引用
收藏
页码：945 / 948
页数：4
相关论文
共 50 条
  • [1] Construction of beam quality factor prediction model based on support vector machine
    Leng Kun
    Wu Wenyuan
    Zhang Xi
    Gong Yanchun
    Yang Yuntao
    [J]. FIFTH INTERNATIONAL SYMPOSIUM ON LASER INTERACTION WITH MATTER, 2019, 11046
  • [2] Research of the enterprise financial risk based on support vector machine
    Lin, Yan
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND TECHNOLOGY EDUCATION (ICSSTE 2015), 2015, 18 : 918 - 921
  • [3] Marketing risk prediction based on the support vector machine
    Zhang, Yunqi
    Li, Jun
    [J]. PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON E-RISK MANAGEMENT (ICERM 2008), 2008, : 362 - 367
  • [4] Marketing risk prediction based on the support vector machine
    Zhang Yunqi
    Wang Jiajun
    Li Tengfei
    [J]. ADVANCES IN MANAGEMENT OF TECHNOLOGY, PROCEEDINGS, 2007, : 135 - +
  • [5] Research on the Cost Prediction Model of Construction Projects Based on the Support Vector Regression Machine
    Kong, Xiangpeng
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 284 - 284
  • [6] Support Vector Machine Based Hybrid Model for Prediction of Road Structures Construction Costs
    Petrusheva, S.
    Car-Pusic, D.
    Zileska-Pancovska, V.
    [J]. INTERNATIONAL SCIENTIFIC CONFERENCE PEOPLE, BUILDINGS AND ENVIRONMENT 2018 (PBE), 2019, 222
  • [7] Online prediction model based on support vector machine
    Wang, Wenjian
    Men, Changqian
    Lu, Weizhen
    [J]. NEUROCOMPUTING, 2008, 71 (4-6) : 550 - 558
  • [8] An enforced support vector machine model for construction contractor default prediction
    Tserng, H. Ping
    Lin, Gwo-Fong
    Tsai, L. Ken
    Chen, Po-Cheng
    [J]. AUTOMATION IN CONSTRUCTION, 2011, 20 (08) : 1242 - 1249
  • [9] A Machine Learning Model for Wave Prediction Based on Support Vector Machine
    Liu, Qiang
    Feng, Xingya
    Tang, Tianning
    [J]. INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING, 2022, 32 (04) : 394 - 401
  • [10] Risk Preference Based Support Vector Machine Inference Model for Slope Collapse Prediction
    Cheng, Min-Yuan
    Wu, Yu-Wei
    Chen, Kuan-Lin
    [J]. AUTOMATION IN CONSTRUCTION, 2012, 22 : 175 - 181
12345