Machine learning for guiding high-temperature PEM fuel cells with greater power density.
Luis A. Briceno-MenaGokul VenugopalanJosé A. RomagnoliChristopher G. ArgesPublished in: Patterns (2021)
Keyphrases
- high temperature
- machine learning
- power consumption
- pattern recognition
- text classification
- power generation
- learning systems
- machine learning methods
- information extraction
- fuel consumption
- diesel engine
- feature selection
- support vector machine
- computational intelligence
- artificial intelligence
- learning algorithm
- electrical power
- explanation based learning
- learning tasks
- knowledge acquisition
- machine learning algorithms
- data mining
- text mining
- natural language processing
- supervised learning
- knowledge representation
- active learning
- decision trees
- power system
- inductive learning
- density function
- machine learning approaches
- computer science
- greater degree