Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization

Authors

  • Li Ding Information Engineering Department, Hebei Vocational University of Technology and Engineering, Xingtai 054000, China
  • Xuguang Chai Information Engineering Department, Hebei Vocational University of Technology and Engineering, Xingtai 054000, China
  • Fanjin Zeng Information Engineering Department, Hebei Vocational University of Technology and Engineering, Xingtai 054000, China

DOI:

https://doi.org/10.3991/ijet.v16i20.26507

Abstract


The current evaluation index systems (EISs) of innovation and entrepreneurship (I&E) ability are not sufficiently systematic, scientific, or practical. To solve the problem, this paper tries to evaluate the I&E ability of computer majors, using neural networks improved by particle swarm optimization (PSO). Firstly, an EIS of 22 second-level indexes under 5 first-level indexes was designed to evaluate the I&E ability of college computer majors. Next, an evaluation model was developed based on fuzzy neural network (FNN), and the corresponding training algorithm was created. Moreover, an improved PSO was introduced to optimize the FNN, and the optimization process was detailed. The proposed model was proved effective through experiments.

Author Biographies

Li Ding, Information Engineering Department, Hebei Vocational University of Technology and Engineering, Xingtai 054000, China

Li Ding, master and lecturer of Information Engineering Department, Hebei Vocational University of Technology and Engineering, majoring in software technology; published more than 10 academic papers in recent years, 2 of which were published by Chinese core journals; obtained 2 utility model patents and 5 software copyrights. Email: 30941260@qq.com

Xuguang Chai, Information Engineering Department, Hebei Vocational University of Technology and Engineering, Xingtai 054000, China

Xuguang Chai, master and associate professor of Information Engineering Department, Hebei Vocational University of Technology and Engineering, majoring in big data technology and application; published more than 20 academic papers in recent years, of which 4 were published by EI journals and 2 were published by Chinese core journals; obtained 1 invention patent, 7 utility model patents, and 5 software copyrights. Email: chaixuguang@163.com

Fanjin Zeng, Information Engineering Department, Hebei Vocational University of Technology and Engineering, Xingtai 054000, China

Fanjin Zeng, master and lecturer of Information Engineering Department, Hebei Vocational University of Technology and Engineering, majoring in big data technology and application, published 5 academic papers in recent years; obtained 2 utility model patents and 3 software copyrights. Email: 690860941@qq.com

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Published

2021-10-25

How to Cite

Ding, L., Chai, X., & Zeng, F. (2021). Evaluation of Innovation and Entrepreneurship Ability of Computer Majors Based on Neural Network Optimized by Particle Swarm Optimization. International Journal of Emerging Technologies in Learning (iJET), 16(20), pp. 19–34. https://doi.org/10.3991/ijet.v16i20.26507

Issue

Vol. 16 No. 20 (2021)

Section

Papers