Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting.
Eko David KurniawanNazrul EffendyAgus ArifKenny DwiantoroNidlom MuddinPublished in: Neural Comput. Appl. (2023)
Keyphrases
- learning tasks
- soft sensor
- power plant
- gradient boosting
- neural network
- genetic algorithm
- industrial process
- machine learning
- fault diagnosis
- prediction model
- loss function
- prediction accuracy
- soft computing
- fuzzy logic
- pattern recognition
- historical data
- fault detection
- decision support system
- multi layer perceptron
- back propagation
- multi class
- industrial processes
- artificial neural networks
- data mining