Abstract
With the strong support of local governments for strategic emerging industries such as high-end equipment manufacturing, new materials, and new energy, strategic emerging industries are playing an increasingly important role in the economy and society. With the increasing enthusiasm of college graduates for independent entrepreneurship, college students’ entrepreneurship is constantly integrated with the development of strategic emerging industries. Based on this background, aiming at the practical problems of the development of strategic emerging industries, this study innovatively puts forward the method of using big data technology and GM model to realize the dynamic model analysis of the development of strategic emerging industries and college students’ entrepreneurial behavior. This article analyzes the correlation between dynamic big data such as industrial scale, industrial market, and industrial direction of local strategic emerging industries and university entrepreneurship, so as to provide theoretical support for the development strategy of strategic emerging industries. Through the neural network algorithm, this article evaluates the entrepreneurship of college students, so as to provide a digital basis for the layout of strategic emerging industries to attract talents and entrepreneurship. Experiments show that the big data integration system established by GM correlation analysis and ant colony Elman regression artificial neural network has high accuracy and can well identify the priority relevance of the industrial direction of strategic emerging industries to college students’ entrepreneurship. It provides theoretical support for regional policy makers to better formulate college students’ entrepreneurship strategy and the development plan of emerging industries.
Highlights
In recent years, as an important part of a powerful country in science and technology and learning, China has been vigorously supporting the development of strategic emerging industries [1]
Based on this, aiming at the correlation between the development of strategic emerging industries and college students’ entrepreneurship, this article establishes a dynamic model system based on integrated big data system combined with GM correlation model and artificial neural network. is article introduces the development status and shortcomings of relevant research on the development of strategic emerging industries, college students’ entrepreneurship, and big data technology
A dynamic GM correlation model for the correlation between the development of strategic emerging industries and college students’ entrepreneurship is proposed. It briefly describes the construction of big data model based on GM correlation model. e model can analyze the complex discrete dynamic strategic emerging industry data with high accuracy and robustness to a certain extent and calculate the correlation between these data and college students’ entrepreneurship
Summary
As an important part of a powerful country in science and technology and learning, China has been vigorously supporting the development of strategic emerging industries [1]. Scholars have put forward corresponding evaluation schemes for the development of strategic emerging industries and college students’ entrepreneurship [4], the research on the correlation between the development of strategic emerging industries and college students’ entrepreneurship is still blank [5] In this context, this article studies the coupling correlation between the development of strategic emerging industries and college students’ entrepreneurship based on big data technology and analyzes the layout and configuration of local strategic emerging industries for the purpose of attracting college students’ entrepreneurship through the analysis model constructed by neural network algorithm. Aiming at the problems of income uncertainty and poor quantifiable ability in the development of strategic emerging industries, this article uses big data technology to establish a complex dynamic discrete data analysis model based on the GM correlation algorithm and the artificial neural network algorithm and analyzes the coupling relationship between the development of strategic emerging industries and college students’ entrepreneurship. Use Hadoop HDFS architecture combined with artificial neural network algorithm to analyze the relevant big data generated by strategic emerging industries, customize the personalized incentive plan for college students’ entrepreneurship, and realize a reasonable strategic emerging industry structure
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
