摘要
财务预警关系到企业的生存和发展。针对煤炭行业特征,在统计学习理论和结构风险最小化原理的基础上,建立了基于最小二乘支持向量机的财务预警模型。预测结果表明该模型具有较高的预测精度,为煤炭行业财务风险提供了一条新的途径。
The financial pre-warning has an important bearing on the survival and development of an enterprise.Aimed at the character of the coal industry,the least squares support vector machine prediction model is given based on the principle of the statistical learning theory and structural risk minimization.The result is given that the forecasting model is effective and offers a new method to forecast the financial risk.
出处
《电脑知识与技术（过刊）》
2011年第3X期1867-1868,共2页
Computer Knowledge and Technology
基金
国家自然科学基金(70971120)
关键词
煤炭行业
最小二乘支持向量机
财务预警
coal industry
least squares support vector machine
early warning analysis
