Evaluation on Promoting Economic Development by Technology Entrepreneurship and Innovation Concept of Sports Industry under the Background of Artificial Intelligence
The economic advancement of the PE industry is the lifeblood of the PE industry. Adopting the concept of technology entrepreneurship and innovation can improve the economic advancement of the PE industry. The chaos theory of image security communication and DNA computing system can be used in the economic development of PE industry to improve and update it. In order to promote the economic development of PE industry under the background of artificial intelligence, this paper used chaos theory and DNA computing to analyze the strategy of PE industry enterprises, and finally drew a conclusion. In terms of the survey on the scientific and technological level of the PE industry, the scientific and technological level of the five sports related enterprises has been improved; in terms of the investigation on the innovation ability of the PE industry, it was concluded that the innovation ability of the five enterprises has improved after the adoption of the DNA computing system, maintaining the level of more than 80 points; in the aspect of the investigation of the economic level of the PE industry, it was concluded that the demand of the public for sports commodities is gradually expanding, and the sports commodity sales enterprises have driven the development of the PE industry; in terms of the survey on the changes in the scale of sports enterprises, it was concluded that the scale of each enterprise has expanded from July 2021 to December 2021; in the performance analysis of DNA algorithm, it was concluded that the performance of DNA algorithm using chaos theory of image security communication has been improved. To sum up, chaos theory and DNA computing can improve the technology entrepreneurship and innovation concept of PE industry and promote economic development.
Publication Details
- Journal
- Journal of Artificial Intelligence Practice
- Published
- 2025-01-01
- DOI
- https://doi.org/10.23977/jaip.2025.080304
- Primary Topic
- Artificial Intelligence Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00