Journals
Publish with us
Publishing partnerships
About us
Blog
Complexity
Journal overview
For authors
For reviewers
For editors
Table of Contents
Special Issues
Complexity
/
2020
/
Article
/
Tab 3
/
Research Article
Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition
Table 3
The difference between GFM-Net results and other model results is significant
value.
Model
value
(GFM-Net, Bagging)
1.37
e
− 6
(GFM-Net, AdaBoosting)
1.61
e
− 11
(GFM-Net, CNN + LSTM)
7.40
e
− 15
(GFM-Net, CNN + GRU)
4.67
e
− 15
(GFM-Net, CNN + RNN)
7.59
e
− 15