Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition.
Eu Jin TeohKay Chen TanCheng XiangPublished in: IEEE Trans. Neural Networks (2006)
Keyphrases
- singular value decomposition
- feed forward
- hidden layer
- activation function
- output layer
- singular values
- least squares
- neural network
- artificial neural networks
- back propagation
- neural nets
- dimension reduction
- hidden nodes
- recurrent neural networks
- hidden neurons
- principal component analysis
- network structure
- dimensionality reduction
- feed forward neural networks
- image processing
- feedforward neural networks
- single layer
- high dimensional