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Wavelet Neural Networks and Support Vector Machine for Financial Distress Prediction Modelling: The Chinese Case

  • Hongshan Yao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5552)

Abstract

Wavelet neural networks (WNN) and support vector machine (SVM) are two advanced methods which are fit for classification. A comparative analysis of the two methods was conducted based on Chinese firms. The results show WNN has good classification effect. Wavelet decomposition has been demonstrated to be an effective tool for recognizing the firms’ feature. Also the study applied SVM to the same estimation sample and test sample. The results show SVM is much superior to WNN for small sample learning.

Keywords

Wavelet neural networks Support vector machine Financial distress 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hongshan Yao
    • 1
  1. 1.Zhongnan University of Economics and LawWuhanChina

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