Nonparametric kernel smoother on topology learning neural networks for incremental and ensemble regression.
Jianhua XiaoZhiyang XiangDong WangZhu XiaoPublished in: Neural Comput. Appl. (2019)
Keyphrases
- neural network
- incremental learning
- learning algorithm
- classification and regression problems
- learning process
- locally weighted
- supervised learning
- gaussian processes
- training process
- component analysis
- neural nets
- multi task learning
- kernel ridge regression
- learning rules
- feedforward neural networks
- competitive learning
- kernel regression
- inductive inference
- learning scheme
- linear regression
- multilayer perceptron
- back propagation
- data driven
- fuzzy logic
- training set
- support vector
- genetic algorithm