| 基于支持向量机的重大科技项目立项评价研究 |
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| 引用本文： | 李书全,朱孔国,李武.基于支持向量机的重大科技项目立项评价研究[J].科技与管理,2010,12(1):53-56. |
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| 作者姓名： | 李书全 朱孔国 李武 |
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| 作者单位： | 1. 天津财经大学商学院,天津,300222
2. 天津大学科技处,天津,300072 |
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| 基金项目： | 天津市科技发展战略研究计划(08ZLZLZT02200) |
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| 摘 要： | 重大科技项目立项评价直接关系着国家科技计划实施的质量。然而由于立项评审的复杂性,对其进行评估往往面临许多问题。支持向量机作为结构风险最小化准则的具体实现工具,具有全局最优、结构简单、分类精确性好和泛化性能强等优点。将支持向量机用于重大科技项目的立项评审中,并取得了较好的识别效果。
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| 关 键 词： | 立项评价 重大科技项目 支持向量机 预测模型 |
Study on evaluation of major S&T projects establishment based on SVM |
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| LI Shu-quan,ZHU Kong-guo,LI Wu.Study on evaluation of major S&T projects establishment based on SVM[J].Science-Technology and Management,2010,12(1):53-56. |
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| Authors: | LI Shu-quan ZHU Kong-guo LI Wu |
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| Institution: | 1.Business School/a>;Tianjin University of Finance and Economics/a>;Tianjin 300222/a>;China/a>;2.Department of Science and Technology/a>;Tianjin University/a>;Tianjin 300072/a>;China |
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| Abstract: | The establishment evaluation of the major S&T projects is of significance for implementing the national S&T plans.However,with the complexity of R&D projects,the establishment evaluation would be faced with a lot of problems.As a tool of the structural risk minimization principle,support vector machine(SVM) brings along a bunch of advantages over other approaches,including global optimization,simple structure,better classification accuracy and good generalization properties.In this paper,SVM is applied to m... |
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| Keywords: | establishment evaluation major S&T projects support vector machine forecast model |
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