Improved Random Forest Algorithm Based on Decision Paths for Fault Diagnosis of Chemical Process with Incomplete Data.
Yuequn ZhangLei LuoXu JiYiyang DaiPublished in: Sensors (2021)
Keyphrases
- fault diagnosis
- chemical process
- incomplete data
- random forest
- neural network
- expert systems
- optimization algorithm
- decision tree learning algorithms
- similarity measure
- bayesian networks
- k means
- probabilistic model
- support vector machine
- operating conditions
- missing values
- missing data
- fuzzy logic
- face recognition
- feature selection
- computer vision
- learning algorithm
- genetic algorithm