| Study on the comprehensive advantage evaluation method of high-tech enterprises based on RBF artificial neural network |
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| 作者姓名： | 王宏起 王雪原 唐宇 |
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| 作者单位： | [1]School of Economics ＆ Management, Harbin Engineer University, Harbin 150001, China [2]School of Economics ＆ Management, Harbin University of Science and Technology, Harbin 150080, China |
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| 基金项目： | Sponsored by National Natural Science Foundation of China （Crant No. 70473020） , China Postdoctoral Science Foundation （Grant No. 2002035157 ） , the Key Seienee and Technology Research Projeet of Heilongjiang Province （ Grant No. GB02D102 ） and Heilongjiang Province Pnstdoetoral Science Foundation. |
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| 摘 要： | This paper designs an intelligent evaluation approach using a Radial Basis Function （RBF） Artificial Neural Network. We based our approach on establishing a comprehensive advantage evaluating index system that offers scientific substance for creating a development plan and the strategic management of high-tech industry and regional clusters of high-tech enterprises. Furnhermore, this paper selects some typical high-tech enterprises＇ data to make comprehensive training on the network system. Meanwhile, the paper chooses some enterprises as testing samples to test the method, the result of which proves that this method is truly effective. The research of this paper provides a comprehensive advantage evaluating and managing method for high-tech enterprise.
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| 关 键 词： | 高技术企业 综合优势 评价方法 径向基函数人工神经网络 |
| 文章编号： | 1005-9113（2005）06-3645-05 |
| 收稿时间： | 2004-12-20 |
Study on the comprehensive advantage evaluation method of high-tech enterprises based on RBF artificial neural network |
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| WANG Hong-qi,WANG Xue-yuan,TANG Yu.Study on the comprehensive advantage evaluation method of high-tech enterprises based on RBF artificial neural network[J].Journal of Harbin Institute of Technology,2005,12(6):645-649. |
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| Authors: | WANG Hong-qi WANG Xue-yuan TANG Yu |
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| Abstract: | This paper designs an intelligent evaluation approach using a Radial Basis Function (RBF) Artificial Neural Network. We based our approach on establishing a comprehensive advantage evaluating index system that offers scientific substance for creating a development plan and the strategic management of high-tech industry and regional cluslers of high-tech enterprises. Furthermore, this paper selects some typical high-tech enterprises' data to make comprehensive training on the network system. Meanwhile, the paper chooses some enterprises as testing samples to test the method, the result of which proves that this method is truly effective. The research of this paper provides a comprehensive advantage evaluating and managing method for high-tech enterprise. |
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| Keywords: | comprehensive advantage evaluating method high-tech enterprise RBF artificial neural network |
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