Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models.
Yan LiuDakun YangNan NanLi GuoJianjun ZhangPublished in: Neural Process. Lett. (2016)
Keyphrases
- fuzzy model
- convergence analysis
- fuzzy modeling
- learning algorithm
- input output
- radial basis function network
- fuzzy rules
- supervised learning
- takagi sugeno kang
- training samples
- membership functions
- fuzzy systems
- global convergence
- fuzzy clustering
- fuzzy controller
- fuzzy inference
- optimality conditions
- fuzzy sets
- rule base
- learning rate
- training data
- fuzzy inference system
- convergence rate
- fuzzy logic
- training set
- reinforcement learning
- decision trees
- machine learning
- neuro fuzzy
- neural network
- maximum margin
- active learning
- high level