A neural network boosting regression model based on XGBoost.
Jianwei DongYumin ChenBingyu YaoXiao ZhangNianfeng ZengPublished in: Appl. Soft Comput. (2022)
Keyphrases
- neural network
- classification and regression trees
- gradient boosting
- regression model
- kernel ridge regression
- artificial neural networks
- generalized regression neural network
- pattern recognition
- back propagation
- relevance vector machine
- model selection
- learning algorithm
- regression algorithm
- regression problems
- ensemble methods
- neural network is trained
- bp neural network
- genetic algorithm
- linear regression
- simple linear
- machine learning
- feature selection
- least squares
- fault diagnosis
- regression function
- neural network model
- base learners
- fuzzy neural network
- neural nets
- prediction model
- feed forward
- regression method
- fully unsupervised
- regression analysis
- gaussian processes
- multilayer perceptron
- locally weighted
- tree induction
- support vector
- recurrent neural networks
- incremental learning