Development of a Virtual Reality-based Implementation System for Vocational Education Orientation Training Mode using BP Neural Network in the Production and Teaching Combination

Abstract

Improving the quality of higher education has been the focus of higher education. In universities, classroom teaching is still the main teaching method, and the quality of teaching reflects and determines the quality of university teaching to a certain extent. Professor Since evaluation is a key measure to improve the quality of education and learning, it is especially important to establish a scientific and reasonable model of vocational education guidance.This paper applies the BP Neural Network(BPNN) theory to the evaluation of innovation and entrepreneurship education in colleges and universities. In order to evaluate students' innovation and entrepreneurship ability, the scores corresponding to students' evaluation indexes were taken as input vectors, the number of hidden layer neurons was determined,and the experimental evaluation results were taken as output vectors.The experimental results show that the BPNN is reasonable and feasible when it is used in the course evaluation of vocational education. The proposed algorithm has a certain accuracy, which is 14.96% higher than the traditional genetic algorithm. This paperintroducesthemodel,configuration, characteristics, training process, algorithm enhancement and limitations of neural network, and introduces genetic algorithm o n this basis. Through the analysis of the principle, basic operation and common ope rators of genetic algorithm, it lays a theoretical foundation for the following content.Keywords: BPNN; Education; Directional cultivation; to integrate the resources of enterprises with vocational schools and universities.