Keywords
technology enterprise, enterprise valuation, value influencing factor, GRNN neural network
Abstract
The implementation of the science and technology board reflects China's emphasis on the development of science and technology enterprises. In order to enable enterprises to obtain more development opportunities, accurately assessing the value of science and technology enterprises has become an urgent problem to be solved. Based on the analysis of the influencing factors of the value of science and technology enterprises, this paper constructs a value evaluation index system for science and technology enterprises, and establishes a value evaluation model for science and technology enterprises based on GRNN neural network. The data of 60 GEM technology-related enterprises were selected as samples. The GRNN neural network model was trained and tested by MATLAB technology. The results show that the established GRNN neural network model can accurately evaluate the value of technology-based enterprises.
DOI
10.16315/j.stm.2020.02.004
Recommended Citation
SONG, Li-ping; LI, Meng; and YU, Shu-yang
(2020)
"Research on value evaluation method of seience and technology enterprises based on GRNN neural network,"
Journal of Science and Technology Management: Vol. 22:
Iss.
2, Article 11.
DOI: 10.16315/j.stm.2020.02.004
Available at:
https://jstm.researchcommons.org/journal/vol22/iss2/11
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
