Prediction of variables involved in TEG Dehydration using hybrid models based on boosting algorithms.
Fangxiu WangJiemei ZhaoVo Van HoangPublished in: Comput. Chem. Eng. (2024)
Keyphrases
- hybrid models
- boosting algorithms
- hybrid model
- loss function
- multi class
- prediction accuracy
- cost sensitive
- neural network
- binary classification
- ensemble methods
- weak classifiers
- generalization error
- learning algorithm
- multi layer
- pattern recognition
- support vector
- feed forward neural networks
- reinforcement learning