location:Home > 2019 VOL.2 Apr No.2 > Sharing of the financial crisis prediction method based on large data envelopment model

2019 VOL.2 Apr No.2

  • Title: Sharing of the financial crisis prediction method based on large data envelopment model
  • Name: Joyce Brandon
  • Company: University College Cork, Cork Ireland
  • Abstract:

    As the economy continues to develop, jointly predicted the financial crisis has become a hot issue economists and managers concerned. This is also the core of a company's stable development. Based on the above background, modeling research is conducted on the Shared financial crisis prediction method based on big data envelopment. Firstly, based on the big data envelope technology, a shared financial crisis prediction model is established, and then the accuracy of the model is verified by design experiments. Select Bayesian predictive models share the financial crisis, and to compare experimental results show that large data envelopment forecasting model is more accurate with the established model.

  • Keyword: big data;envelope;financial crisis;prediction;modeling
  • DOI: 10.12250/jpciams2019020121
  • Citation form: Joyce Brandon.Sharing of the financial crisis prediction method based on large data envelopment model[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 48-53.
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Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16