Prediction of blood glucose concentration for type 1 diabetes based on echo state networks embedded with incremental learning.
Ning LiJianyong TuoYouqing WangMenghui WangPublished in: Neurocomputing (2020)
Keyphrases
- incremental learning
- blood glucose
- diabetic patients
- echo state networks
- blood pressure
- diabetes mellitus
- incremental learning algorithm
- short term and long term
- recurrent neural networks
- fuzzy artmap
- batch mode
- batch learning
- data sets
- heart rate
- short term
- supervised learning
- embedded systems
- semi supervised
- training data
- data mining