A Hybrid Neural Network Model Predictive Control with Zone Penalty Weights for Type 1 Diabetes Mellitus
Author:
Affiliation:
1. Department of Chemical Engineering, National Taiwan University, Taipei 10617, Taiwan
2. Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital, Tao-Yuan 33305, Taiwan
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie202308w
Reference49 articles.
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3. Marchetti, G.; Barolo, M.; Jovanovic, L.; Zisser, H.; Seborg, D. E.An improved PID switching control strategy for type 1 diabetes. 28th Annual International Conference of the IEEE/EMBS, New York, NY, Aug;IEEE-Institute of Electrical Electronics Engineers Inc.New York, 2006; pp857–865.
4. Feasibility of Automating Insulin Delivery for the Treatment of Type 1 Diabetes
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