A Universal Approximation Theorem of Deep Neural Networks for Expressing Distributions.
Yulong LuJianfeng LuPublished in: CoRR (2020)
Keyphrases
- neural network
- artificial neural networks
- approximation error
- probability distribution
- fuzzy logic
- pattern recognition
- back propagation
- approximation algorithms
- hypervolume indicator
- deep learning
- activation function
- network architecture
- error bounds
- queueing networks
- exponential family
- probability mass
- multilayer perceptron
- gaussian distribution
- multi layer
- fuzzy systems
- radial basis function
- random variables
- bayesian networks
- genetic algorithm