Study on the evaluation of regional technology innovation ability system and regional differences based on RBF neural network

被引：0

作者：

Kang, Shiying ^{[1
]}

Zhang, Weichu ^{[1
]}

机构：

[1] Chongqing Technol & Business Univ, Sch Comp Sci & Informat Engn, Chongqing 400067, Peoples R China

来源：

ISMOT'07: Proceedings of the Fifth International Symposium on Management of Technology, Vols 1 and 2: MANAGING TOTAL INNOVATION AND OPEN INNOVATION IN THE 21ST CENTURY | 2007年

关键词：

radial basis function (RBF) artificial neural network; nearest neighbor-clustering algorithm; technical innovation; ability; regional differences;

D O I：

暂无

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Regional innovation ability is the vital support force for the sustainable development of regional economy. This paper selects 31 provinces and cities, 20 primitive indexes, make the Self-Adaptive RBF Neural Network evaluation on the regional innovation capacity. Discusses the reason to the. difference and its countermeasure in east, middle and west areas on the basis of the appraisal and analysis to various region technology innovation ability and difference synthetically, and provides the basis to formulate region economy and technological development policy in various areas especially Midwest.

引用

页码：827 / 831

页数：5

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