| 基于模糊模式识别神经网络的企业风险动态识别方法研究 |
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| 引用本文： | 纪崑,陈超.基于模糊模式识别神经网络的企业风险动态识别方法研究[J].辽宁大学学报(自然科学版),2009,36(3):255-262. |
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| 作者姓名： | 纪崑 陈超 |
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| 作者单位： | 集美大学,理学院,福建,厦门,361021 |
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| 基金项目： | 集美大学预研基金资助项目 |
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| 摘 要： | 在企业风险等级识别过程中存在风险效应人为等分需要量化处理、多维特征指标识别困难以及不同企业间指标高度相似性等问题.为了更好地解决这些识别问题,将模糊模式识别与神经网络相结合提出模糊模式识别神经网络动态识别方法.该方法既克服了模糊模式识别只能处理静态数据且不能实现特征提取的问题,又克服了神经网络对于高维度、高相似性特征指标识别困难的问题.
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| 关 键 词： | 模糊系统 模式识别 神经网络 |
Methodological Study on Dynamic Recognition of Enterprise Risks on the Basis of the Neutral Network of Fuzzy Pattern Recognition |
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| JI Kun,CHEN Chao.Methodological Study on Dynamic Recognition of Enterprise Risks on the Basis of the Neutral Network of Fuzzy Pattern Recognition[J].Journal of Liaoning University(Natural Sciences Edition),2009,36(3):255-262. |
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| Authors: | JI Kun CHEN Chao |
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| Institution: | Science College;Jimei University;Xiamen Fujian;China |
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| Abstract: | When enterprise risks are recognized,the following problems may usually be found.The manmade gradation of its effects needs quantizing;the multi-dimensional characteristic indicators are hard to recognize;and the heights of indicators among enterprises are similar.In order to solve these problems,this article puts forth a dynamic recognition method combining fuzzy pattern and neutral network.This combination conquers the flaw of fuzzy system that it can only solve static data rather than extract characteris... |
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| Keywords: | fuzzy system pattern recognition neutral network |
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