Hybridizing machine learning with metaheuristics for preventing convergence failures in mechanical models based on compression field theories.
Alejandro M. Hernández-DíazJorge Pérez-AracilDavid Casillas-PerezEmiliano PereiraSancho Salcedo-SanzPublished in: Appl. Soft Comput. (2022)
Keyphrases
- machine learning
- artificial intelligence
- machine learning algorithms
- complex systems
- formal models
- mathematical models
- learning models
- data compression
- convergence rate
- machine learning methods
- statistical models
- experimental data
- data mining
- theoretical framework
- probabilistic model
- pattern recognition
- simulated annealing
- computational models
- decision trees
- feature selection
- computer vision
- machine learning models
- data driven approaches