Research on Innovation and Entrepreneurship Ability Based on Combination Evaluation Model

Abstract

Under the background of "mass entrepreneurship and innovation", this paper analyzes the research status of college students' innovation and entrepreneurship education and its evaluation system, and gives the key factors and evaluation model which affect the cultivation of college students' innovation and entrepreneurship ability. Firstly, combining the subjective and objective advantages of AHP and entropy method, a combined weight model based on information entropy principle is constructed. Secondly, the genetic algorithm is used to optimize the neural network, and the evaluation model of college students' innovation and entrepreneurship ability based on genetic neural network is established, and the weight value obtained by combination weight model is used to adjust the connection weight of genetic neural network. Finally, the effectiveness of the combined evaluation model is verified by the data of innovation and entrepreneurship of college students in an application university. The research results can provide a new strategy for the evaluation of innovation and entrepreneurship ability of college students in application universities.