@inproceedings{d1c9880ca4cd4ddeaaefd0c823b4fca3,
title = "Type 1 diabetes regulated by ANFIS at molecular levels",
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 = "ANFIS, Diabetes, Molecular model, Subtractive clustering",
author = "Levente Kov{\'a}cs and A. Gy{\"o}rgy and B. Beny{\'o} and A. Kov{\'a}cs",
year = "2009",
doi = "10.1007/978-3-642-03882-2_224",
language = "English (US)",
isbn = "9783642038815",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
number = "4",
pages = "841--844",
booktitle = "World Congress on Medical Physics and Biomedical Engineering",
edition = "4",
note = "World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics ; Conference date: 07-09-2009 Through 12-09-2009",
}