Paper
Neural Network-based Blood Gucose Control System for Type I Diabetes Patients
- Authors:
- Alexander Trofimov; Anatoly Karpenko; Serge Chernetsov
- Abstract
- The paper considers the problem of constructing neural network-based blood glucose control system, consisting of connected neural networks of different architectures, NARX neural networks and TDNN. The principle underlying the model training and the results of experimental studies on real patient data are described.
- Keywords
- Neural Network; Blood Glucose Control System; Type I Diabetes; IDDM; Control System
- StartPage
- 15
- EndPage
- 18
- Doi
- 10.5963/LSMR0202001