| 基于改进型神经网络的财务预警实证研究 |
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| 引用本文： | 冯征.基于改进型神经网络的财务预警实证研究[J].山西财经大学学报,2007,29(8):120-124. |
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| 作者姓名： | 冯征 |
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| 作者单位： | 天津大学,管理学院,天津,300072 |
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| 摘 要： | 传统的神经网络财务预警模型存在缺陷,无法解释变量间的因果关系,使训练时间增加、训练精度下降。改进后的神经网络预警模型运用了统计方法、神经网络、粗糙集和模糊技术,能够得到优于传统神经网络模型的预测结果,弥补了传统神经网络模型解释性差的缺陷,实证研究结果也证实了该模型的有效性。
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| 关 键 词： | 财务预警 神经网络 粗糙集 |
| 文章编号： | 1007-9556（2007）08-0120-05 |
| 收稿时间： | 2007-06-22 |
| 修稿时间： | 2007-06-22 |
An Empirical Analysis on Improved-neural Financial Precautionary Networks |
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| FENG Zheng.An Empirical Analysis on Improved-neural Financial Precautionary Networks[J].Journal of Shanxi Finance and Economics University,2007,29(8):120-124. |
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| Authors: | FENG Zheng |
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| Institution: | School of Management, Tianjin University, Tinajin 300072, China |
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| Abstract: | The paper analyzes the limitations of the traditional neural networks which is extensively used in the financial precaution.The author makes a research on the detailed methods in improving financial precaution networks.The result of the empirical analysis proves the efficiency of the related model as well. |
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| Keywords: | financial precaution neural networks rough set |
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