Abstract: Innovation and entrepreneurship education develops rapidly and has an important position in universities. It is of great practical significance to study the evaluation of innovation and entrepreneur? ship teaching ability. At present, there are some problems in the evaluation mechanism of education capability of innovation and entrepreneurship, mainly focusing on the qualitative evaluation method, and the non-linear quantitative evaluation method is less used. In the evaluation process, the particularity of innovation and entrepreneurship teaching is not considered, which is very different from other courses.In addition, the development function and efficiency of evaluation are low. Aiming at the problems in the evaluation, the writer designed a comprehensive evaluation system which highlighted innovative entrepreneurial ability of teaching. The improved BP neural network evaluation method was led into the evaluation of teaching ability of university teachers on innovation and entrepreneurship, the neural network training was improved to promote efficiency of evaluation and simulate the experts′ thinking. The proposed method has high evaluation validity, it is worthy of popularization in evaluation of teachers′ ability on innovation and entrepreneurship.

Key words: innovation and entrepreneurship teaching, evaluation index system, improved BP neural network