Establishment and Application of BP neural network model for Quality Assessment of Innovation and Entrepreneurship Education in Colleges and Universities

The quality evaluation of innovation and entrepreneurship education is the monitoring and feedback of innovation and entrepreneurship education in colleges and universities, which helps to promote the deepening of innovation and entrepreneurship education reform and improve the level of innovation and entrepreneurship education. Aiming at the deficiency of traditional innovation and entrepreneurship education quality evaluation technology, the BP neural network was applied to the quality evaluation of innovation and entrepreneurship education in colleges and universities. Firstly, the traditional BP neural network was introduced, and the BP neural network adaptive algorithm was proposed. Then, the quality evaluation index system for innovation and entrepreneurship education in colleges and universities was designed, and the evaluation level and evaluation index assignment method for innovation and entrepreneurship education quality in colleges and universities were determined. Finally, based on the BP neural network adaptive algorithm, the BP neural network model for the quality evaluation of innovation and entrepreneurship education in universities was established. At the end of the paper, an empirical study was carried out, and the results show that the BP neural network model for the quality evaluation of innovation and entrepreneurship education in colleges and universities has strong feasibility and effectiveness, which provides a new idea and a new way for the quality evaluation of innovation and entrepreneurship education in colleges and universities.