A finite time discrete distributed learning algorithm using stochastic configuration network.
Jin XieSan Yang LiuJiaxi ChenWeifeng GaoHong LiRanran XiongPublished in: Inf. Sci. (2022)
Keyphrases
- learning algorithm
- peer to peer
- distributed network
- computer networks
- communication overhead
- hopfield neural network
- distributed systems
- network configuration
- finite number
- network model
- communication cost
- network nodes
- heterogeneous networks
- data transfer
- distributed environment
- multi agent
- network structure
- complex networks
- peer to peer networks
- camera network
- active learning
- boltzmann machines
- remote sites
- cooperative
- continuous functions
- machine learning
- communication networks
- wireless sensor networks
- learning process
- real numbers
- monte carlo
- distributed computing environment
- social networks
- community structure