Research on Evaluation Model of Entrepreneurship Education Based on BP Neural Network
Abstract
The evaluation system of entrepreneurial practice and curriculum teaching mostly depends on the evaluation of people. Qualitative evaluation lacking specific performance and quantitative measurement is carried out through small groups. This evaluation method lacks specific quantitative and weight basis. Therefore, the evaluation results often depend on the emotional bias and cognitive bias of individuals, and the subjectivity in the evaluation process is too strong. To solve this problem, BP neural network (BP-net) is introduced into the evaluation system of entrepreneurial practice and course teaching. The model has higher adaptability and nonlinear processing ability, so the evaluation results with higher objectivity and lower deviation rate can be obtained in the evaluation. According to the evaluation characteristics of entrepreneurial practice and course teaching, a combined update design is carried out, and a new momentum term is introduced to enhance the overall operation effect of the model. Finally, the model is tested by means of performance comparison and empirical analysis. The results show that the performance score of the model reaches 4.93 points of the highest value, and the R value of the regression fitting process is stable at more than 0.90. It can conduct a comprehensive and objective analysis for different index dimensions, and split out the advantages and disadvantages of entrepreneurial practice and course teaching. This model can evaluate the quality of entrepreneurial practice and course teaching, promote the self-improvement of colleges, and create a better innovation and entrepreneurship environment for students.
