摘要
创业风险评估是大学创业过程一个重要研究内容,当前大学生创业风险评估算法存在评估精度低、误差大的局限性为了获得理想的大学生创业风险评估结果,提出基于大数据分析的大学生创业风险评估算法。首先对大学生创业风险评估国内外研究现状进行分析,找到引起大学生创业风险评估错误率高的原因,然后根据大数据分析方法的支持向量机建立大学生创业风险评估模型,最后通过具体仿真对比实验对算法的有效性和优越性进行分析。实验结果表明,所提算法提高了大学生创业风险评估精度,而且评估速度也大幅度加快,评估结果明显优于当前其他的大学生创业风险评估算法。
The entrepreneurial risk assessment is an important research content of the college students entrepreneurial process.Since the current risk assessment evaluation algorithm of college students entrepreneurship has the limitations of low precision and big error,a large data analysis based risk evaluation algorithm of college students entrepreneurship is proposed to obtain the ideal risk evaluation results of college students entrepreneurship.The research status of college students entrepreneurial risk assessment at home and abroad is analyzed to find the reason causing the high error rate of college students entrepreneurial risk assessment.The risk assessment model of college students entrepreneurship is established according to the support vector machine of large data analysis method.The validity and superiority of this algorithm are analyzed with the specific simulation.The results show that the algorithm improves the risk assessment accuracy of college students entrepreneurship,also quickens the evaluation speed greatly,and its evaluation results are significantly better than that of the current other risk assessment algorithms of college students entrepreneurship.
作者
刘士伟
李丹
LIU Shiwei;LI Dan(Liaoning Technical University,Huludao 125105,China)
出处
《现代电子技术》
北大核心
2018年第19期125-128,132,共5页
Modern Electronics Technique
基金
辽宁省社会科学规划基金项目(L15BSZ023)
2016年全国高校学生工作课题(LX2016Y103)
阜新市社会科学研究课题(2017Fsllx031)
2018年辽宁经济社会发展立项课题(2018lslktqn-030)~~
关键词
大学生创业
风险评估
模型
支持向量机
大数据分析
评估结果
college students entrepreneurship
risk assessment
model
support vector machine
large data analysis
assessment result
作者简介
刘士伟(1978—),男,硕士,讲师,主要研究方向为大学生创业与就业;李丹(1984-),博士,讲师,主要研究方向为文化产业、国际贸易、创业经济学。
