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Type 1 Diabetes Regulated by ANFIS at Molecular Levels

  • L. Kovács
  • A. György
  • B. Benyó
  • A. Kovács
Part of the IFMBE Proceedings book series (IFMBE, volume 25/4)

Abstract

Soft computing based controller is designed for Type 1 diabetes modeled at molecular levels. Rough rule base is generated with subtractive clustering which is followed by its refinement by parameter tuning. As a result, an Adaptive Neuro-Fuzzy Inference System (ANFIS) is created. Simulation results are in accordance with the behavior of the healthy human blood glucose system.

Keywords

Membership Function Blood Glucose Level Intravenous Insulin Subtractive Cluster Tense Phase 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • L. Kovács
    • 1
  • A. György
    • 1
  • B. Benyó
    • 1
  • A. Kovács
    • 2
  1. 1.Dept. of Control Engineering and Information TechnologyBudapest University of Technology and EconomicsBudapestHungary
  2. 2.Dept. of Mathematics“Politehnica” University of TimisoaraTimisoaraRomania

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