Classification and simulation of process of linear change for grip force at different grip speeds by using supervised learning based on sEMG.
Yansheng WuShili LiangTao YanJinxin AoZe ZhouXiuping LiPublished in: Expert Syst. Appl. (2022)
Keyphrases
- supervised learning
- unsupervised learning
- classification process
- supervised classification
- class labels
- supervised machine learning
- machine learning
- pattern recognition
- neural network
- pattern classification
- support vector machine svm
- text classification
- support vector
- classification accuracy
- semi supervised
- feature extraction
- accurate classification
- support vector machine
- cross validation
- automatic classification
- classification method
- classification rules
- simulation model
- machine learning methods
- learning algorithm
- feature selection
- generalization error
- statistical learning
- training data
- mathematical model
- process model
- decision trees
- training samples
- image classification