Blood Glucose Prediction With VMD and LSTM Optimized by Improved Particle Swarm Optimization

Blood Glucose Prediction With VMD and LSTM Optimized by Improved Particle Swarm Optimization

The time series of blood glucose concentration in diabetics are time-varying, nonlinear and non-stationary. To improve the accuracy of blood glucose prediction, a short-term blood glucose prediction model (VMD-IPSO-LSTM) combining variational modal decomposition (VDM) and improved Particle swarm opt...

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Bibliographic Details
Main Authors: Wenbo Wang, Meng Tong, Min Yu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Blood glucose prediction
variational modal decomposition
PSO
LSTM
Online Access:https://ieeexplore.ieee.org/document/9281120/

Internet

https://ieeexplore.ieee.org/document/9281120/

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