Research Article
Construction and Application of Investment Value Model for Hydrogen and Fuel Cell Industries Based on Clustering Algorithm
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342712, author={Xudong Li and Qian Liu}, title={Construction and Application of Investment Value Model for Hydrogen and Fuel Cell Industries Based on Clustering Algorithm}, proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2024}, month={2}, keywords={clustering algorithm; industrial investment; industrial clustering; hydrogen energy and fuel cell industry}, doi={10.4108/eai.17-11-2023.2342712} }- Xudong Li
Qian Liu
Year: 2024
Construction and Application of Investment Value Model for Hydrogen and Fuel Cell Industries Based on Clustering Algorithm
ICEMME
EAI
DOI: 10.4108/eai.17-11-2023.2342712
Abstract
As one of the pillar industries of the national economy, automobiles have gradually become a hot field pursued by local governments and industrial capital in recent years, driven by technologies such as electrification, intelligence, networking, and low-carbon. At the same time, the automotive industry has the characteristics of wide technological coverage and strong synergy with related industries. Therefore, in order to better develop the automotive industry, it is necessary to not only deeply analyze the development prospects of various technological routes, but also combine various industrial resource elements, fully explore the value of industrial data, and use the cutting-edge theory of data mining to provide more scientific and quantitative investment value evaluation methods and algorithm models for government departments and industrial capital.