Principal Component Analysis and Prediction of Students' Physical Health Standard Test Results Based on Recurrent Convolution Neural Network.
Kai HouPublished in: Wirel. Commun. Mob. Comput. (2021)
Keyphrases
- neural network
- principal component analysis
- prediction model
- learning environment
- learning experience
- prediction accuracy
- image processing
- recurrent neural networks
- feed forward
- higher education
- multiple choice
- high school students
- distance learning
- elman network
- principal components
- high school
- student learning
- learning process
- learning activities
- multi layer perceptron
- problem based learning
- science education
- artificial neural networks
- face images
- back propagation
- independent component analysis
- dimensionality reduction
- face recognition
- e learning
- learning outcomes
- college students
- undergraduate students
- item bank
- covariance matrix
- university level
- experimental design
- bp neural network
- multilayer perceptron
- neural network model
- health care
- collaborative learning
- pattern recognition
- genetic algorithm