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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Kovács, L., György, A., Benyó, B., Kovács, A. (2009). Type 1 Diabetes Regulated by ANFIS at Molecular Levels. In: Dössel, O., Schlegel, W.C. (eds) World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany. IFMBE Proceedings, vol 25/4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03882-2_224
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DOI: https://doi.org/10.1007/978-3-642-03882-2_224
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03881-5
Online ISBN: 978-3-642-03882-2
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