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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2009> 18(4): 497-501
ZHANG Li-wei, ZHANG Qian, WANG Xue-feng, ZHU Dong-hua. Application Research of Robust LS-SVM Regression Model in Forecasting Patent Application Counts[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2009, 18(4): 497-501.
Citation: ZHANG Li-wei, ZHANG Qian, WANG Xue-feng, ZHU Dong-hua. Application Research of Robust LS-SVM Regression Model in Forecasting Patent Application Counts[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2009, 18(4): 497-501.
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Application Research of Robust LS-SVM Regression Model in Forecasting Patent Application Counts

  • School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;Information College, Capital University of Economics and Business, Beijing 100070, China

  • Received Date:2009-03-29
    Abstract
  • A forecasting system of patent application counts is studied in this paper. The optimization model proposed in the research is based on support vector machines (SVM), in which cross-validation algorithm is used for preferences selection. Results of data simulation show that the proposed method has higher forecasting precision power and stronger generalization abi1ity than BP neural network and RBF neural network. In addition, it is feasible and effective in forecasting patent application counts.
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    • References (9)
  • [1]
    Liu Fengchao, Pan Xiongfeng, Wang Yuandi. The analysis and forecast of Chinese patent based on grey systems theory[J]. Journal of Information, 2004, 12:53-55. (in Chinese)
    [2]
    Wu Hecheng. The resilience research of patent output and scientific and technological input[J]. Science and Technology Progress and Policy, 2008, 25(2):142-144. (in Chinese)
    [3]
    Tao Ye, Xu Long. Research on the relationship between R&D input and patent output in China[J]. Science and Technology Progress and Policy,2007,24(3):7-10. (in Chinese)
    [4]
    Zhuang Yu, Guan Shuxue. A correlation analysis between patent output and per capita GDP in China[J]. Journal of Information, 2007(2):105-110. (in Chinese)
    [5]
    Xu Sheng, Zhao Huifang, Guo Xuesong. A support vector machine model for patent application quantities forecast in China[J]. Operations Research and Management Science, 2007, 16(5):137-141. (in Chinese)
    [6]
    Burges C J C. A tutorial on support vector machines for pattern recognition[J]. Data Mining and Knowledge Discovery, 1998, 2(2):121-167.
    [7]
    Suykens J A K, Vandewalle J. Least squares support vector machine classifiers[J]. Neural Process Letter, 1999, 9(3):293-299.
    [8]
    Fischer A. A special newton-type optimization method[J]. Optimization,24(3):269-284.
    [9]
    Giger M L, Al Hallaq H, Huo Zhimin, et al. Computerized analysis of lesions in US images of the breast[J]. Academic Radiology,1999, 6(11):665-674. (Edited by
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