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
  • [21] City Scientific and Technological Progress Level Classification Based on Support Vector Machine
    Zhao, Jing
    Dang, Xinghua
    2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 1, PROCEEDINGS, 2009, : 110 - 113
  • [22] AN IMPROVED SUPPORT VECTOR MACHINE MODEL BASED ON WAVECLUSTER
    Deng, Weiguo
    Wang, Li
    Qi, Jing
    Yu, Shan
    Xiang, Tiyan
    ICIM2012: PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON INDUSTRIAL MANAGEMENT, 2012, : 514 - 518
  • [23] Model transfer method based on support vector machine
    Xiong Yu-hong
    Wen Zhi-yu
    Liang Yu-qian
    Chen Qin
    Zhang Bo
    Liu Yu
    Xiang Xian-yi
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27 (01) : 147 - 150
  • [24] Evaluation Model Based on Support Vector Machine for Community Micro-Blog Influence
    Liu, Chengshui
    Wang, Qiang
    Lai, Kin Keung
    2013 SIXTH INTERNATIONAL CONFERENCE ON BUSINESS INTELLIGENCE AND FINANCIAL ENGINEERING (BIFE), 2014, : 75 - 79
  • [25] Online prediction model based on support vector machine
    Wang, Wenjian
    Men, Changqian
    Lu, Weizhen
    NEUROCOMPUTING, 2008, 71 (4-6) : 550 - 558
  • [26] Research of the enterprise financial risk based on support vector machine
    Lin, Yan
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND TECHNOLOGY EDUCATION (ICSSTE 2015), 2015, 18 : 918 - 921
  • [27] Application Research of Support Vector Machine in network Security risk evaluation
    Li Cong-cong
    Guo Ai-ling
    Li Dan
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION WORKSHOP: IITA 2008 WORKSHOPS, PROCEEDINGS, 2008, : 40 - +
  • [28] The Eutrophication Evaluation of Dongting Lake Based on Support Vector Machine
    Li Zheng-zui
    Xie Yue-bo
    Yi Jian-jun
    PROCEEDINGS OF 2009 INTERNATIONAL WORKSHOP ON INFORMATION SECURITY AND APPLICATION, 2009, : 384 - 387
  • [29] Landslide susceptibility evaluation based on optimized support vector machine
    Liu Jiping
    Lin Rongfu
    Xu Shenghua
    Wang Yong
    Che Xianghong
    Chen Jie
    30TH INTERNATIONAL CARTOGRAPHIC CONFERENCE (ICC 2021), VOL 4, 2021,
  • [30] Evaluation on Performance of Asphalt Pavement Based on Support Vector Machine
    Zhao J.
    Wang X.
    Fan Z.
    Wang P.
    Wang, Xuancang (wxc2005@163.com), 1600, South China University of Technology (48): : 116 - 123