Research on the Evaluation of Urban Science and Technology Innovation Ability in Shaanxi Province Based on BP Neural Network

摘要

Based on the three dimensions of innovation base and supporting ability, technology industrialization ability and brand innovation ability, this paper constructs the index system for the evaluation of urban science and technology innovation ability in Shaanxi province and uses the method of nested BP neural network to carry out empirical evaluation for urban science and technology innovation ability in Shaanxi province, which has obtained the sequence for the technological innovation ability of ten cities in Shaanxi province. The conclusion shows that there is a big gap between the technological innovation ability of various cities in Shaanxi Province. The strongest lies in Guanzhong, the second is in northern Shaanxi, and the weakest in southern Shaanxi. This paper further analyzes the deep reasons for the rankings of scientific and technological innovation ability in the cities of Shaanxi and gives the concrete measures to enhance the innovation ability in Guanzhong, northern Shaanxi and southern Shaanxi on this basis. Guanzhong region wants to optimize the industrial structure, improve the efficiency of resource use and speed up the construction of transformation mechanism; Northern Shaanxi region wants to vigorously develop the tertiary industry to promote industrial restructuring and upgrading; Southern Shaanxi region carries out tilt for high-tech industry in the policy and effectively improve innovation surroundings.