摘要
随着经济转型的深入,创业企业已成为我国社会经济发展中一支重要的新生力量。如何通过有效地风险评价增强创业企业的风险管理水平,进而提高其成活率,已成为一个不可回避的现实问题。将支持向量机(SVM)原理应用于我国创业企业风险评价中,并依据建立的风险评价指标体系,通过对选取的样本数据进行SVM分类训练,检验并确定了我国部分创业企业风险等级水平,为创业企业管理者根据风险水平及时采取风险控制措施提供了参考。
Along with the economic transformation,entrepreneurial enterprises have become more important for development of social and economic in China.It has been a inevitable problem to enhance the level of risk management and increase the survival rate of entrepreneurial enterprises by the effective risk evaluation.The principle of support vector machine（SVM） is applied to the risk evaluation.And in accordance with index system of entrepreneurial enterprises,the risk level of some entrepreneurial enterprises based on the classification training of the sample data is determined.So that it can provide some reference for manager to adopt risk control measures timely according to the risk level of the entrepreneurial enterprises.
出处
《科学技术与工程》
2010年第36期8952-8958,共7页
Science Technology and Engineering
基金
黑龙江省教育厅人文社科项目(11552005)资助
关键词
创业企业
风险评价
支持向量机
分类训练
entrepreneurial enterprise risk evaluation support vector machine（SVM） classified training
