Quantifying Occupant Behavior Uncertainty in Spatio-Temporal Visual Comfort Assessment of National Fitness Halls: A Machine Learning-Based Co-simulation Framework.
Yu LiLingling LiPengyuan ShenXue CuiPublished in: CAAD Futures (2023)
Keyphrases
- machine learning
- spatio temporal
- pattern recognition
- main contribution
- visual information
- theoretical framework
- knowledge discovery
- visual features
- simulation environment
- machine learning algorithms
- probabilistic model
- knowledge representation
- support vector machine
- temporal context
- neural network
- fitness function
- genetic programming
- active learning
- evolutionary algorithm
- data analysis
- artificial intelligence
- genetic algorithm
- data mining