摘要
高新技术产业开发区在我国区域经济创新体系中具有核心地位,其空间分布及集聚模式对区域经济空间规划与布局决策支持具有重要作用。从空间集聚分类的角度,实证研究了我国国家级高新技术产业开发区的空间分布格局及集聚模式,提出了在高新区的空间集聚分类研究中应用基于自组织特征映射的神经网络SO M模型。
High-tech industry development zone locates in the center of China's regional economic innovation system, and its spatial distribution and convergence pattern plays an important role in regional economic spatial programming and distribution decision. From the point of view of pattern recognition and classification, this paper studies the spatial distribution and convergence pattern of China's high-tech industry development zones, and puts forward classification model based on self-organizing feature map model (SOM) in spatial pattern recognition and classification of high-tech industry development zone.
出处
《科学学与科学技术管理》
CSSCI
北大核心
2006年第2期98-102,共5页
Science of Science and Management of S.& T.
基金
国家自然科学基金项目(70463001)
北京市科委科学研究计划项目(Z0004094040112)
广西科学基金项目(桂科基0448034)
广西哲学社会科学"十五"规划研究课题(03FJL003)
关键词
高新技术产业开发区
空间集聚分类
自组织特征映射网络(SOM)
空间系统聚类分析
high-tech industry development zones
spatial cluster classification
self-organizing feature map network(SOM)
spatial system cluster analysis