Application Research of the Robust LS-SVM Regression Model in Forecasting Patent Application Quantities

被引：0
|
作者：
Zhang Liwei [1 ]
Zhang Qian [1 ]
Zhu Donghua [1 ]
Wang Xuefeng [1 ]
Yu Bo [1 ]
机构：
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF INTERNATIONAL FORUM ON TECHNOLOGICAL INNOVATION AND COMPETITIVE TECHNICAL INTELLIGENCE 2008 | 2009年
关键词：
support vector machine (SVM); cross-validation algorithm; forecasting; patent application quantities;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
A forecasting system of patent application quantities is studied by means of applying the support vector machine (SVM) which uses cross-validation algorithms to select preferences. The result of data emulation shows the proposed method has higher forecasting precision and stronger generalization ability than BP neural network and RBF neural network, and it is feasible and effective in forecasting patent application quantities.
引用
收藏
页码：141 / 146
页数：6
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