Study on the Evaluation of Regional Technology Innovation Ability System and Regional Differences Based on RBF Neural Network

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.

关键词： Radial Basis Function (RBF) Artificial Neural Network Nearest Neighbor-Clustering Algorithm Technical Innovation Ability Regional Differences

作者: KANG Shiying ZHANG Weichu

作者单位: School of Computer Science & Information Engineering Chongqing Technology and Business University Chongqing 400067,P.R.China

会议类型: 国际会议

会议名称: The Fifth InternationalSymposium on Management of Technology(ISMOT07)(第五届技术与创新管理国际研讨会)

会议地点: 杭州

会议语种:英文

页码: 835-839

在线出版日期: 2007-06-01（万方平台首次上网日期，不代表论文的发表时间）