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<p>This paper firstly coordinates the relationship between the internal elements of university innovation and entrepreneurship incubation systems through positive and negative feedback regulation so that the system reaches equilibrium or rises to a higher level of equilibrium. Secondly, based on the whole process of innovation and entrepreneurship, the diffusion model of the university innovation and entrepreneurship system is constructed, setting university students’ innovation and entrepreneurship ability as the expected benefit and cognitive bias as the cost and exploring the benefit curve of innovation and entrepreneurship ability and cognitive bias. Finally, we initialize the parameters of the simulation system for incubating innovation and entrepreneurship among college students and simulate the constructed scale-free network model using Matlab simulation. The results show that in the simulation Corporation1, when tick=5, the maximum value of the Y coordinate appears to be 27.5, which responds to the growing process of college students’ innovation and entrepreneurship incubation objects. The simulation of college students’ innovation and entrepreneurship proposed in this paper complements the short board of college students’ inability to practice innovation and entrepreneurship and provides a practical reference for the cultivation of innovation and entrepreneurship talent ability in college education.</p>
</abstract>

This paper firstly coordinates the relationship between the internal elements of university innovation and entrepreneurship incubation systems through positive and negative feedback regulation so that the system reaches equilibrium or rises to a higher level of equilibrium. Secondly, based on the whole process of innovation and entrepreneurship, the diffusion model of the university innovation and entrepreneurship system is constructed, setting university students’ innovation and entrepreneurship ability as the expected benefit and cognitive bias as the cost and exploring the benefit curve of innovation and entrepreneurship ability and cognitive bias. Finally, we initialize the parameters of the simulation system for incubating innovation and entrepreneurship among college students and simulate the constructed scale-free network model using Matlab simulation. The results show that in the simulation Corporation1, when tick=5, the maximum value of the Y coordinate appears to be 27.5, which responds to the growing process of college students’ innovation and entrepreneurship incubation objects. The simulation of college students’ innovation and entrepreneurship proposed in this paper complements the short board of college students’ inability to practice innovation and entrepreneurship and provides a practical reference for the cultivation of innovation and entrepreneurship talent ability in college education.

Research on the Cultivation of Innovation and Entrepreneurship Ability of College Students under the Background of Big Data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper firstly coordinates the relationship between the internal elements of university innovation and entrepreneurship incubation systems through positive...

Research on the Cultivation of Innovation and Entrepreneurship Ability of College Students under the Background of Big Data

Online veröffentlicht: 23. Dez. 2023

Seitenbereich: -

Eingereicht: 10. Jan. 2023

Akzeptiert: 03. Juli 2023

DOI: https://doi.org/10.2478/amns.2023.2.01590

Schlüsselwörter
Positive and negative feedback regulation, Incubation system, Diffusion model, Expected return, Scale-free network

© 2023 Yuran Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Cultivation of Innovation and Entrepreneurship Ability of College Students under the Background of Big Data

Online veröffentlicht: 23. Dez. 2023

Seitenbereich: -

Eingereicht: 10. Jan. 2023

Akzeptiert: 03. Juli 2023

DOI: https://doi.org/10.2478/amns.2023.2.01590

SchlüsselwörterPositive and negative feedback regulation, Incubation system, Diffusion model, Expected return, Scale-free network

© 2023 Yuran Liu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Positive and negative feedback regulation, Incubation system, Diffusion model, Expected return, Scale-free network