An upper bound on the variance of scalar multilayer perceptrons for log-concave distributions.
Aydin SarrafSaeed KhaliliPublished in: Neurocomputing (2022)
Keyphrases
- multilayer perceptron
- upper bound
- lower bound
- artificial neural networks
- neural network
- hidden layer
- radial basis function
- back propagation
- probability distribution
- worst case
- kl divergence
- normal distribution
- commonly applied
- belief networks
- radial basis function network
- neural network model
- bp algorithm
- feed forward
- expert systems
- bp neural network
- neural nets
- knowledge base
- activation function
- feature selection
- machine learning
- data sets