• DocumentCode
    2744746
  • Title

    Identification of combination therapy models using a neuro fuzzy identification scheme

  • Author

    Giotis, Thomas ; Christodoulou, Manolis A. ; Boutalis, Yannis

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Tech. Univ. of Crete, Chania, Greece
  • fYear
    2011
  • fDate
    20-23 June 2011
  • Firstpage
    1283
  • Lastpage
    1288
  • Abstract
    In this paper a neuro fuzzy identification scheme is used in order to identify four different nonlinear biological systems that describe four combination therapy models respectively. Combination therapy is a significant field in modern medicine and it is very important to be able to develop a system-level understanding of such biological systems and provide information that will be useful to molecular biology and medicine. Apart from this, we have the opportunity to show the great capabilities of the scheme we used, in biological systems of great interest that show amplification, ultrasensitivity and feedback control. Our results illustrate the potency of this method.
  • Keywords
    biology; feedback; fuzzy neural nets; nonlinear control systems; amplification; combination therapy models; feedback control; neuro fuzzy identification scheme; nonlinear biological systems; ultrasensitivity; Additives; Biological system modeling; Compounds; Computational modeling; Drugs; Inhibitors; Combination Therapy; Identification; Neuro Fuzzy Systems; Systems Biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2011 19th Mediterranean Conference on
  • Conference_Location
    Corfu
  • Print_ISBN
    978-1-4577-0124-5
  • Type

    conf

  • DOI
    10.1109/MED.2011.5983229
  • Filename
    5983229