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.