A Technological Innovation Risk Evaluation Model Based on Support Vector Machine

被引:0
|
作者
Ting, Wang [1 ]
Hui, Zhang [1 ]
机构
[1] N China Elect Power Univ, Dept Econ Management, Baoding 071000, Peoples R China
来源
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON RISK MANAGEMENT & ENGINEERING MANAGEMENT, VOLS 1 AND 2 | 2008年
关键词
Support vector machine; technological innovation; risk evaluation; fast sorting method;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
In order to solve the problem that enterprise how to select the technological innovation projects, obtain the information of technological innovation-risk degree intuitively and promptly is essential, so enterprise should sort the technological innovation projects by risk degree. This paper applies the fast sorting evaluation method which is based on least squares support vector machine to carry on risk evaluation sorting of the technological innovation projects, and gives an example to confirm, finally draws the conclusion that applying this method in the enterprise's decision-making of technological innovation projects is effective and feasible.
引用
收藏
页码:9 / 12
页数:4
相关论文
共 50 条
  • [31] Research on Natural Disaster Risk Assessment Model Based on Support Vector Machine and Its Application
    Chen, Junfei
    Zhao, Shihao
    Liao, Weihao
    Weng, Yuan
    NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS, 2009, 5864 : 762 - 769
  • [32] Evaluation model of college students' online learning level difference based on support vector machine
    Liu, Kunzhe
    Ge, Xiqiang
    Wang, Jiefeng
    INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING, 2023, 33 (01) : 23 - 36
  • [33] Sound feature space effects on the performance of annoyance evaluation model based on support vector machine
    Feng, Tianpei
    Sun, Yuedong
    Wang, Yansong
    Zhou, Ping
    Guo, Hui
    Liu, Ningning
    APPLIED ACOUSTICS, 2019, 154 (99-113) : 99 - 113
  • [34] Evaluation model for power plant construction project safety management based on support vector machine
    Wang, Q
    Niu, DX
    Wang, WJ
    Li, JC
    PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL V, PTS A AND B, 2005, 5 : 709 - 714
  • [35] Evaluation of regional green innovation performance in China using a support vector machine-based model optimized by the chaotic grey wolf algorithm
    Zhao, Pengyi
    Cai, Yuanying
    Chen, Liwen
    Li, Qing
    Dai, Fuqiang
    CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2025, 27 (01) : 293 - 307
  • [37] A hybrid Forecasting Model of Discharges based on Support Vector Machine
    Li Shijin
    Jiang Lingling
    Zhu Yuelong
    Bo Ping
    2012 INTERNATIONAL CONFERENCE ON MODERN HYDRAULIC ENGINEERING, 2012, 28 : 136 - 141
  • [38] Dynamic Simulation Model of Helicopter Based on Support Vector Machine
    Wang, Shuzhou
    Peng, Jingming
    2011 INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND NEURAL COMPUTING (FSNC 2011), VOL VI, 2011, : 530 - 533
  • [39] A support vector machine based semiparametric mixture cure model
    Peizhi Li
    Yingwei Peng
    Ping Jiang
    Qingli Dong
    Computational Statistics, 2020, 35 : 931 - 945
  • [40] Dynamic Simulation Model of Helicopter Based on Support Vector Machine
    Wang, Shuzhou
    Peng, Jingming
    2011 AASRI CONFERENCE ON INFORMATION TECHNOLOGY AND ECONOMIC DEVELOPMENT (AASRI-ITED 2011), VOL 3, 2011, : 307 - 310