Abstract
A time series model is designed based on the backpropagation neural network to further optimize the innovation and development of new ventures. The specific situation of two factors is primarily analyzed as follows: the supply and demand ratio of enterprise talents and the state of entrepreneurship in the development of new ventures. The results show that the potential demand of future enterprises for big data talents can be obtained by fitting prediction sequences. Based on the Backpropagation–Autoregressive Integrated Moving Average model, the post modeling and prediction are carried out, and the coefficient 0.6235 is obtained by substituting the equation of Pearson's correlation coefficient. The analysis results suggest that the matching needs to be strengthened between the cultivation of innovative talents in universities and the demand trend of big data-related positions in enterprises. Moreover, there is a mismatch between the cultivation of innovative talents and the demand for innovative talents. Meanwhile, the mental health level of young entrepreneurs is concerned. The mental health status of young entrepreneurs is compared with the national norm data through the questionnaire survey and statistical data analysis. The results reveal that the mental health level of young entrepreneurs is significantly lower than that of the national norm, and the proportion of anxiety and depression is 29.4% and 27.5%, respectively. Considering the professional characteristics and competitive environment of young entrepreneurs, busy work and the multiple missions given by society to entrepreneurs are the major reasons for their pressure, and mental health problems are serious.
Highlights
The arrival of a knowledge-based society has promoted the reform of economic development mode, and the driving force led by innovation has become the key to a new round of international competition
Hypothesis testing is needed to test the adaptability of the sequence to the Autoregressive Integrated Moving Average (ARIMA) model
The total average score and factor scores of the Symptom checklist 90 (SCL-90) scale of mental health of the new generation private entrepreneurs are significantly higher than that of the national norm (p < 0.01). It indicates that the mental health level of the new generation of private entrepreneurs is lower than that of the national norm (Tian et al, 2020)
Summary
The arrival of a knowledge-based society has promoted the reform of economic development mode, and the driving force led by innovation has become the key to a new round of international competition. The driving force to enhance the national innovation ability lies in deepening the reform of innovation and entrepreneurship education in universities and cultivating innovative and entrepreneurial talents (Lu and Xue, 2017). Young Entrepreneurs Innovative Enterprise Talent injects innovative vitality into the country, economy, employment, and other social development. Developing innovation and entrepreneurship education and cultivating innovative enterprise talents are the developmental trend of higher education in the world and the internal generating force for implementing the innovationdriven strategy, building an innovative country, and developing an entrepreneurial economy in China. Wu et al (2018) fully explained the significance of innovation and entrepreneurship courses for college students
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
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 callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
