• DocumentCode
    3655950
  • Title

    Architecture of hybrid generalized additive neuro-fuzzy system in modelling technological process

  • Author

    Bodyanskiy Yevgeniy;Peleshko Dmytro;Vynokurova Olena;Tatarinova Yuliia

  • Author_Institution
    Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, UKRAINE, Lenina street 14
  • fYear
    2015
  • Firstpage
    333
  • Lastpage
    335
  • Abstract
    In this paper we propose architecture of hybrid generalized additive neuro-fuzzy system. Such system is hybrid of the neuro-fuzzy system by Wang-Mendel and the generalized additive models by Hastie-Tibshirani. Proposed hybrid generalized additive neuro-fuzzy system can be used for modelling technological process, identification and prediction of nonlinear nonstationary signal. The results of experimental modelling confirm the effectiveness of the proposed approach in comparison with conventional neuro-fuzzy systems.
  • Keywords
    "Additives","Computational modeling","Approximation methods","Neurons","Computer architecture","Tuning","Neural networks"
  • Publisher
    ieee
  • Conference_Titel
    Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), 2015 13th International Conference The
  • Type

    conf

  • DOI
    10.1109/CADSM.2015.7230869
  • Filename
    7230869
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3655950