Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks.
Yinsong WangShahin ShahrampourPublished in: CoRR (2019)
Keyphrases
- parameter estimation
- hidden layer
- neural network
- back propagation
- activation function
- feed forward
- multilayer perceptron
- feedforward neural networks
- feed forward neural networks
- artificial neural networks
- recurrent neural networks
- model selection
- em algorithm
- maximum likelihood
- radial basis function
- neural nets
- markov random field
- hidden neurons
- rbf neural network
- least squares
- learning rate
- parameter estimation algorithm
- expectation maximization
- latent variables
- neural network structure
- number of hidden layers
- random fields
- neural network model
- output layer
- pattern recognition
- learning algorithm
- multi layer
- bp neural network
- learning rules
- fault diagnosis
- higher order
- extreme learning machine
- fuzzy logic
- decision making