A study of university student’s entrepreneurial intention based on influence factors

Research on Modern Higher Education

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关键词:   university student’s entrepreneurship;    fuzzy algorithm;    influence factor;    neural network;    ant colony algorithm;    entrepreneurial intention;   

DOI  :  10.24104/rmhe/2017.03.02001

学科分类：社会科学、人文和艺术（综合）

来源: Asian Academic Press Co Limited

【 摘 要 】

In recent years, university student’s entrepreneurship has been in a prosperous rise. Hence, there’re more and more important functions in studying university student’s entrepreneurial intention. With sufficient understanding of university student’s entrepreneurial intention, we are able to provide timely and appropriate guidance and assistance which can have great reference value on university students, universities, and state policies. At present, qualitative research is the focus of related studies at home and abroad. The development of quantitative research is slow. In order to solve the influence and functions that influence factors have on university student’s entrepreneurial intention, this thesis established mathematical models according to the relations among those influence factors. However, there’s certain complexity in solving the influence factors of university student’s entrepreneurial intention. In many cases, a single algorithm cannot well solve the problems of evaluation accuracy and fault-tolerant capability. By optimizing fuzzy comprehensive evaluation algorithm, this thesis introduced neural network into complex models and had training on the parameters of neural network in the introduced ant colony algorithm; thus obtained university student’s entrepreneurial intention study model based on influence factor and a new thought on solution. With organic combination of algorithms, this thesis has innovated and improved the existing algorithms and their applying reliability and accuracy. Quantitative analysis and ex-planation about the influence factors in study of university student’s entrepreneurial intention will be shown in this thesis.

【 授权许可】

CC BY-NC