Development of a cognitive blood glucose–insulin control strategy design for a nonlinear diabetic patient model
The novel cognitive blood glucose–insulin control technique presented in this work uses five layers in the controller’s structure to monitor and control the blood glucose levels of various diabetic patients’ types. The first layer is the cognitive dataset that represents the attributes of the contro...
Saved in:
| Main Authors: | Dagher Khulood Eskander, Haggege Joseph |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-05-01
|
| Series: | Nonlinear Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nleng-2025-0135 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement
by: Ehsanolah Assareh, et al.
Published: (2023-03-01) -
GWO-RBFNN Dual-parameter Collaborative Intelligent Optimal Control of Chaotic Motion of a Class of Permanent Magnet Synchronous Motor
by: LI Ningzhou, et al.
Published: (2024-06-01) -
Estimation of heat transfer parameters by using trained POD-RBF and Grey Wolf Optimizer
by: Minh Ngoc Nguyen, et al.
Published: (2020-12-01) -
Optimizing blood glucose predictions in type 1 diabetes patients using a stacking ensemble approach
by: Vincent B. Liu, et al.
Published: (2025-06-01) -
On weights which admit the reproducing kernel of Bergman type
by: Zbigniew Pasternak-Winiarski
Published: (1992-01-01)