基于模式识别技术的财务风险识别研究

Research on financial risk identification based on pattern recognition technology

财务风险识别的研究具有十分重要的意义,针对当前财务风险识别方法存在误差大、效率低等弊端,以提高财务风险识别正确率为目标,提出了模式识别技术的财务风险识别方法。对当前各种财务风险识别方法进行分析,找到引起财务风险识别效果不理想的原因,引入模式识别技术中的在线极限学习机描述财务风险变化特点,并建立财务风险识别模型,采用具体实例与其他财务风险识别方法进行了对比实验。结果表明,文中方法减少了财务风险出现误识的概率,财务风险识别正确率得到了明显的改善,财务风险识别速度加快,具有较明显的优势。

The research of financial risk identification is of great significance.In view of the shortcomings of current financial risk identification methods,such as errors and low efficiency,aiming at improving the accuracy of main financial risk identification,a financial risk identification method based on pattern recognition technology is proposed.This paper analyzes the current methods of financial risk identification,finds out the reasons for the unsatisfactory effect of financial risk identification,introduces the online limit learning machine of pattern recognition technology to describe the characteristics of financial risk changes,so as to establish the financial risk identification model,and uses specific examples to compare with other methods of financial risk identification.The results show that this paper the method reduces the probability of financial risk misidentification,improves the accuracy of financial risk identification,and accelerates the speed of financial risk identification.