Determining the Number of Hidden Layers in Neural Network by Using Principal Component Analysis.
Muhammad Ibnu Choldun RachmatullahJudhi SantosoKridanto SurendroPublished in: IntelliSys (2) (2019)
Keyphrases
- number of hidden layers
- neural network
- principal component analysis
- hidden layer
- neural network model
- back propagation
- multilayer perceptron
- dimensionality reduction
- recurrent neural networks
- feed forward
- principal components
- covariance matrix
- radial basis function
- artificial neural networks
- learning rate
- independent component analysis
- training procedure
- face images
- fuzzy logic
- neural nets
- feature extraction
- face recognition
- fault diagnosis
- learning experience
- particle swarm optimization
- nearest neighbor
- bayesian networks
- rbf neural network