Application research of robust LS-SVM regression model in forecasting patent application counts

Li Wei Zhang*, Qian Zhang, Xue Feng Wang, Dong Hua Zhu

*此作品的通讯作者

    科研成果: 期刊稿件文章同行评审

    4 引用 (Scopus)

    摘要

    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.

    源语言英语
    页(从-至)497-501
    页数5
    期刊Journal of Beijing Institute of Technology (English Edition)
    18
    4
    出版状态已出版 - 12月 2009

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    引用此

    Zhang, L. W., Zhang, Q., Wang, X. F., & Zhu, D. H. (2009). Application research of robust LS-SVM regression model in forecasting patent application counts. Journal of Beijing Institute of Technology (English Edition), 18(4), 497-501.