Financial Distress Prediction Based on Support Vector Machine with a Modified Kernel Function

Financial Distress Prediction Based on Support Vector Machine with a Modified Kernel Function

For the financial distress prediction model based on support vector machine, there are no theories concerning how to choose a proper kernel function in a data-dependent way. This paper proposes a method of modified kernel function that can availably enhance classification accuracy. We apply an infor...

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Bibliographic Details
Main Authors: Wu Chong, Wang Lu, Shi Zhe
Format: Article
Language:English
Published: De Gruyter 2016-07-01
Series:Journal of Intelligent Systems
Subjects:
financial distress prediction
support vector machine
kernel function
Online Access:https://doi.org/10.1515/jisys-2014-0132

Internet

https://doi.org/10.1515/jisys-2014-0132

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