• Medientyp: E-Artikel
  • Titel: Theory and Application of Logistic-SVM Two-Stage Hybrid Model
  • Beteiligte: Liu, Pingshan; Zeng, Ziming
  • Erschienen: IOP Publishing, 2021
  • Erschienen in: Journal of Physics: Conference Series
  • Sprache: Nicht zu entscheiden
  • DOI: 10.1088/1742-6596/1746/1/012017
  • ISSN: 1742-6588; 1742-6596
  • Schlagwörter: General Physics and Astronomy
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>Based on the theoretical analysis, this paper combined the Logistic model and the support vector machine (SVM) to construct a Logistic-SVM two-stage hybrid model for credit risk evaluation. Using the two-stage hybrid model to evaluate the credit risk of pharmaceutical supply chain finance, the results showed that the Logistic-SVM two-stage hybrid model had a higher evaluation level than the single Logistic model and the single SVM model, which verified the superiority and effectiveness of the Logistic-SVM two-stage hybrid model applied to the credit risk evaluation.</jats:p>
  • Zugangsstatus: Freier Zugang