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Listed Company Reorganization Risk Evaluation Based on Neural Network Model

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Book cover Practical Applications of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

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Abstract

The reorganization of listed company is a complicated system engineer with great risk. While aiming at risk characteristics of listed company reorganization, this paper builds up evaluation index system of listed company reorganization risk, designs risk evaluation model based on variable structure neural network of re-linking random process, trains the model by using 10 cases of listed company reorganization and assess the reorganization risk of four listed company. The result shows that the average relative error of the model is 2.44 %, and the largest relative error is 2.96 %, which means that the model has a preferable prediction result.

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Author information

Authors and Affiliations

  1. Institute of Economy, Henan University, Kaifeng, China

    Wang Zuogong & Li Huiyang

Authors
  1. Wang Zuogong
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  2. Li Huiyang
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Corresponding author

Correspondence to Li Huiyang .

Editor information

Editors and Affiliations

  1. College of Computer and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenkun Wen

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Zuogong, W., Huiyang, L. (2014). Listed Company Reorganization Risk Evaluation Based on Neural Network Model. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_23

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  • DOI: https://doi.org/10.1007/978-3-642-54927-4_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

  • eBook Packages: EngineeringEngineering (R0)

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