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

DOI

10.2991/mmetss-17.2017.43How to use a DOI?

Keywords

Scientific and Technological Innovation Ability; Evaluation; BP Neural Network; Shaanxi Province

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Penglin Li
AU  - Dong Jia
AU  - Chen Chen
PY  - 2017/07
DA  - 2017/07
TI  - Research on the Evaluation of Urban Science and Technology Innovation Ability in Shaanxi Province Based on BP Neural Network
BT  - Proceedings of the 2017 2nd International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2017)
PB  - Atlantis Press
SP  - 222
EP  - 232
SN  - 2352-5398
UR  - https://doi.org/10.2991/mmetss-17.2017.43
DO  - 10.2991/mmetss-17.2017.43
ID  - Li2017/07
ER  -