| 支持向量机在财务管理中的应用 |
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| 引用本文： | 孙廷辉,朱瑞龙.支持向量机在财务管理中的应用[J].数字社区&智能家居,2014(2):760-761. |
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| 作者姓名： | 孙廷辉 朱瑞龙 |
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| 作者单位： | [1]黑龙江烟草工业有限责任公司,黑龙江哈尔滨150001 [2]中国科学院沈阳自动化研究所,辽宁沈阳110016 |
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| 基金项目： | 辽宁省科技攻关项目（2011216008） |
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| 摘 要： | 针对财务管理中的数据量问题，提出使用监督性支持向量机（SVM）算法解决财务数据分类问题。首先，将财务数据按照不同的年份，不同的部门进行预处理，并将其标签化；其次，按照一定比例选择训练数据和验证数据，将训练数据输入到SVM中进行分类器的训练；最后利用最优分类器完成财务数据分类。实验结果表明：所提出的算法在财务管理中有较高的应用价值。
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| 关 键 词： | 财务管理 数据分类 支持向量机 |
Application of Financial Management Based on Support Vector Machine |
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| SHUN Ting-hui,ZHU Rui-long.Application of Financial Management Based on Support Vector Machine[J].Digital Community & Smart Home,2014(2):760-761. |
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| Authors: | SHUN Ting-hui ZHU Rui-long |
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| Affiliation: | 1.Heilongjiang Tobacco Industry Limited Liability Company, Harbin 150001,China; 2.Shenyang Institute of Automation,Chinese Academy of Sciences, Shenyang 110016,China) |
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| Abstract: | For the problem of data size in the financial management, we propose a method based on support vector machine to solve the data classification. Firstly, the training and testing data can be selected, and the training data is used to establish the classi-fiers. Finally, the financial data classification can be achieved by the optimal classifier. The experimental results show that the pro-posed method has the application of value in the financial management. |
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| Keywords: | financial management data classification support vector machine |
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