• DocumentCode
    3539146
  • Title

    Echo state network-based credit rating system

  • Author

    Bozsik, József ; Ilonczai, Zsolt

  • Author_Institution
    Dept. of Software Technol. & Methodology, Eotvos Lorand Univ., Budapest, Hungary
  • fYear
    2012
  • fDate
    5-7 Sept. 2012
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    Nowadays credit rating is of paramount importance in our economic system. In this article a new approach on financial credit rating will be demonstrated. Unlike many classical credit rating methods, the power of this solution lies in the use of artificial intelligence, which is getting more and more prevalent in economics [J. Bozsik, Neural Fuzzy System for Default Forecasts, 11th International Symposium on Computational Intelligence and Informatics, 18-20 Nov. 2010, Budapest, Hungary, pp. 69-74]. The goal has been to create an echo state network-based artificial system, which can provide an effective and reliable way to solve the credit rating task. Besides describing the theoretical background of the echo state network-based solution, this article also focuses on the efficiency of the algorithm and the potential problems in different situations, revealing their solutions as well. As closure, tests will be provided to illustrate the effectiveness of the system.
  • Keywords
    artificial intelligence; banking; credit transactions; recurrent neural nets; artificial intelligence; echo state network-based artificial system; echo state network-based financial credit rating system; echo state network-based solution; economic system; Accuracy; Biological neural networks; Companies; Neurons; Reservoirs; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics and Industrial Informatics (LINDI), 2012 4th IEEE International Symposium on
  • Conference_Location
    Smolenice
  • Print_ISBN
    978-1-4673-4520-0
  • Electronic_ISBN
    978-1-4673-4518-7
  • Type

    conf

  • DOI
    10.1109/LINDI.2012.6319485
  • Filename
    6319485