Formal convergence analysis on deterministic ℓ1-regularization based mini-batch learning for RBF networks.
Zhaofeng LiuChi-Sing LeungHing Cheung SoPublished in: Neurocomputing (2023)
Keyphrases
- convergence analysis
- rbf network
- batch learning
- radial basis function
- incremental learning
- global convergence
- concept drift
- optimization methods
- rbf neural network
- optimality conditions
- learning algorithm
- back propagation
- small number
- approximation methods
- learning tasks
- training algorithm
- basis functions
- support vector machine
- neural network
- high dimensional
- genetic algorithm