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Predicting corporate financial distress based on fuzzy support vector machine

  • Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this paper, the fuzzy support vector machine (FSVM) was used to predict the corporate financial distress. First of all, a proper membership model was also proposed to fuzzy all the training data of positive/negative class. Secondly, the outliers were detected by the proposed outlier detection method (ODM). The ODM was a hybrid method based on the fuzzy c-means (FCM) algorithm cascaded with an unsupervised neural network, called self-organizing map (SOM). Finally, FSVM was applied to demonstration research of corporate financial distress prediction, and experimental results indicated that the proposed FSVM actually reduced the effect of outliers and yield higher classification rate than SVM did.

源语言英语
主期刊名2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
DOI
出版状态已出版 - 2008
活动2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008 - Dalian, 中国
期限: 12 10月 2008 → 14 10月 2008

丛书

姓名2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

会议

会议2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
国家/地区中国
市Dalian
时期12/10/08 → 14/10/08

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