Type 1 Diabetes Regulated by ANFIS at Molecular Levels
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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.
KeywordsMembership Function Blood Glucose Level Intravenous Insulin Subtractive Cluster Tense Phase
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