A combined deep neural network and semi-supervised clustering method for sports injury risk prediction
Sports injury risk prediction plays an important role in evaluating the stability of the body in the process of sports. Based on deep neural network and semi-supervised clustering theory, this paper constructs a sports injury risk prediction model, and designs a recognition algorithm based on featur...
Main Authors: | Jiayi Zhao, Guangxue Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-10-01
|
Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016823007317 |
Similar Items
-
Soft Semi-Supervised Deep Learning-Based Clustering
by: Mona Suliman AlZuhair, et al.
Published: (2023-08-01) -
Intention-guided deep semi-supervised document clustering via metric learning
by: Li Jingnan, et al.
Published: (2023-01-01) -
Semi-supervised Deep Document Clustering Model with Supplemented User Intention
by: LI Jingnan, HUANG Ruizhang, REN Lina
Published: (2023-08-01) -
Semi-Supervised Medical Image Classification Combined with Unsupervised Deep Clustering
by: Bang Xiao, et al.
Published: (2023-04-01) -
Mortality prediction on unsupervised and semi-supervised clusters of medical intensive care unit patients based on MIMIC-II database
by: M.K. Lintu, et al.
Published: (2023-01-01)