Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks.
Yinsong WangShahin ShahrampourPublished in: ACC (2020)
Keyphrases
- parameter estimation
- hidden layer
- neural network
- back propagation
- activation function
- feed forward
- multilayer perceptron
- artificial neural networks
- recurrent neural networks
- feedforward neural networks
- feed forward neural networks
- neural nets
- least squares
- learning rate
- maximum likelihood
- model selection
- neural network structure
- em algorithm
- radial basis function
- markov random field
- rbf neural network
- random fields
- parameter estimation algorithm
- expectation maximization
- hidden neurons
- pattern recognition
- latent variables
- output layer
- genetic algorithm
- number of hidden layers
- number of hidden units
- multi layer
- bp neural network
- fuzzy logic
- convergence rate
- hidden units
- neural network model
- fault diagnosis
- image sequences
- computer vision
- learning algorithm