基于BP神经网络的陕西省城市科技创新能力评价研究

nalyzed the evaluation of technological innovation capability in Shaanxi province using nested BP neural network method, this paper builds the evaluation index system of science and technology innovation ability in Shaanxi Province from three dimensions of innovation foundation and support ability, technology industrialization ability and brand innovation to get the technology innovation ranking of ten Cities in Shaanxi province.The empirical results show that: there is a big gap in the scientific and technological innovation capacity of the cities in Shaanxi Province, the strongest in the Central Shaanxi, the second in the northern Shaanxi and the weakest in the southern Shaanxi. The paper further analyzes the deep reasons of the Shaanxi Times Ranking of each city in the scientific and technological innovation ability, puting forward the concrete measures of three areas（Central, North and South Shaanxi）to improve the ability of innovation: optimizing the industrial structure in the Central Shaanxi , improving resource utilization efficiency, accelerating the transformation of mechanism construction in the northern Shaanxi ; promoting the transformation of the third industry; inclining to the high-tech industry in the policy in southern Shaanxi , and improving the innovation environment.