Research On Evaluation Of Innovation And Entrepreneurship Education For Computer Major Students Based On BP Neural Network

With the popularization and development of "Internet +",computer major has become a hot major for innovation and entrepreneurship education,so it is more and more necessary to carry out refined evaluation of innovation and entrepreneurship education according to the differences of majors.In February 2020,the higher education department of the ministry of education will issue the key points of the work of the higher education department of the ministry of education in 2020,which emphasizes that innovation and entrepreneurship education should run through the whole process of talent cultivation.BP neural network model is a new way to study the education of innovation and entrepreneurship.By creating a scientific educational evaluation index system,the quality of innovation and entrepreneurship education for students majoring in computer science can be improved.This paper in the computer major students as the research object,constructing evaluation index system,the second is based on BP neural network model of computer professional students' innovative entrepreneurial education reasonable evaluation,and then make an empirical quantitative analysis of entrepreneurship education for innovation,the last hope for the computer professional students' innovative entrepreneurial education to provide effective countermeasures.The research contents and conclusions of this paper are as follows:Firstly,BP neural network theory is applied in the field of innovation and entrepreneurship education evaluation in universities.In order to evaluate the innovation and entrepreneurship ability of students,the score corresponding to the student evaluation index was used as the input vector,the number of neurons in the hidden layer was determined according to the simulation results,and the experimental evaluation result was used as the output vector.Secondly,the evaluation index system of innovation and entrepreneurship education for computer major students is constructed.The index system includes 4 first-level indicators and 21 second-level indicators,covering the specific contents of the four aspects of students' background,students' professional ability,students' practical ability and students' development ability.Thirdly,the evaluation model of innovation and entrepreneurship education based on BP neural network was established.According to the contents of the evaluation system of innovation and entrepreneurship education for computer major students,an education evaluation model based on BP neural network was constructed.Firstly,the scores of 21 evaluation indexes affecting the innovation and entrepreneurship education for computer students were taken as the input vector of the neural network and the evaluation results as the output vector.Then,the BP neural network with a structure of 21×11×1 was trained with the collected data,and the weights and thresholds of the neural network were continuously adjusted to the standard error requirements.Finally,the evaluation model is verified to be scientific and the real output value is compared with the expected output value.Fourthly,combining the evaluation index system and empirical analysis of innovation and entrepreneurship education for computer major students,the research shows that: the evaluation index system of innovation and entrepreneurship education has scientific rationality and effectively reflects the factors affecting students' ability of innovation and entrepreneurship.Students' professional knowledge and skills,participation in national competitions,and participation in centralized entrepreneurship training camp play a key role and have a far-reaching impact on students' innovation and entrepreneurship ability.On this basis,the countermeasures are put forward as follows: consolidating the computer major foundation,highlighting the new features of the integration of innovation;attaching importance to the guiding role of the competition and coordinating multiple participants;scientific training on innovation and entrepreneurship and policy support for entrepreneurship;enriching diversified entrepreneurial experience and strengthening social practices in various fields.