Research on the Mechanism of Cultivating Entrepreneurship Talents in Universities Based on Data Intelligence Analysis
A data intelligence analysis based on Grey Wolf Optimization Extreme Learning Machine(GWO-ELM)was conducted to establish a predictive model for cultivating entrepreneurial talents among university students.The model accurately predicted the entrepreneurial intentions of students during the talent cultivation process.The results showed that entrepreneurship is cultivable,and the entrepreneurial talent cultivation system in universities has the characteristic of"superimposed qualitative change".The impact intensity of each element in entrepreneurial talent cultivation varies,while the student subject element has the characteristic of"endogenous growth".Based on this,it is proposed to strengthen top-level design and enhance the embedding of multiple knowledge networks;Emphasize precise policy implementation and strengthen the positive impact of key educational factors;Suggestions include strengthening the cultivation of proactive personality and stimulating students'entrepreneurial motivation and behavior.
intelligent data analysisentrepreneurship talent cultivationmechanism
万方数据
维普
