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基于BP神经网络的产业集群创新能力研究
引用本文:王鹏飞,张红霞,曹洪军.基于BP神经网络的产业集群创新能力研究[J].科学学与科学技术管理,2005,26(5):73-76.
作者姓名:王鹏飞  张红霞  曹洪军
作者单位:中国海洋大学,管理学院,山东,青岛,266071
基金项目:国家软科学资助项目(2003DGQ1D061)
摘    要:近几年,产业集群化的趋势已引起我国政府和业界的关注,各地涌现出一批大大小小的产业集群,带动了我国经济的发展。但从总体上来说,它们的创新能力都不强。因此,正确分析和评价产业集群创新能力,对于提高企业的整体创新水平、增强产业国际竞争力,具有重要的现实意义。通过应用BP神经网络理论,对我国的产业集群创新能力进行评价。

关 键 词:BP神经网络  产业集群创新能力  评价模型
文章编号:1002-0241(2005)05-0073-04
修稿时间:2004年12月19

Research on Innovation Ability of Industrial Clusters Based on BP Neural Network
Wang Pengfei,ZHANG Hongxia,Cao Hongjun.Research on Innovation Ability of Industrial Clusters Based on BP Neural Network[J].Science of Science and Management of S.& T.,2005,26(5):73-76.
Authors:Wang Pengfei  ZHANG Hongxia  Cao Hongjun
Abstract:In recent years, china's government and enterprises have put more attention on industrial clusters. A batch of big and small industrial clusters emerged all over the country, which has driven the economic development of our country. On the whole, however, the innovation ability of these industrial clusters is not strong. So, analyzing and appraising the innovation ability of industrial clusters correctly has the important theoretical and practical significance to improve the whole innovation level of enterprises and to strengthen the international competitiveness of china's industries. Applying BP neural network theory, this article appraises the innovation ability of industrial clusters in our country.
Keywords:BP neural network  innovation ability of industrial clusters  evaluation model
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