Predicting students performance in final examination using linear regression and multilayer perceptron.
Febrianti WidyahastutiViany Utami TjhinPublished in: HSI (2017)
Keyphrases
- linear regression
- multilayer perceptron
- least squares
- neural network
- radial basis function
- artificial neural networks
- regression problems
- hidden layer
- back propagation
- linear regression model
- probabilistic neural networks
- ridge regression
- high school
- input vector
- nonlinear regression
- activation function
- regression methods
- neural network model
- college students
- regression method
- locally weighted
- learning styles
- modular neural network
- neuro fuzzy models
- knowledge base
- feature selection
- statistically significant
- backpropagation algorithm
- image sequences
- kernel density estimators
- machine learning