Turning hazardous volatile matter compounds into fuel by catalytic steam reforming: An evolutionary machine learning approach.
Alireza ShafizadehHossein ShahbeikMohammad Hossein NadianVijai Kumar GuptaAbdul-Sattar NizamiSu Shiung LamWanxi PengJunting PanMeisam TabatabaeiMortaza AghbashloPublished in: CoRR (2023)
Keyphrases
- machine learning
- power plant
- knowledge acquisition
- learning systems
- text classification
- machine learning algorithms
- pattern recognition
- computer science
- active learning
- molecular structure
- kernel methods
- machine learning methods
- experimental data
- natural language processing
- data mining
- learning algorithm
- supervised learning
- real time
- high levels
- inductive logic programming
- feature selection
- decision trees
- reinforcement learning
- data analysis
- mathematical model
- computer vision
- artificial intelligence
- unsupervised learning
- machine learning approaches
- explanation based learning
- artificial neural networks
- chemical compounds
- unit commitment
- knowledge representation