Comparative analysis of interpolative and non-interpolative fuzzy rule based machine learning systems applying various numerical optimization methods.
Krisztián BalázsJános BotzheimLászló T. KóczyPublished in: FUZZ-IEEE (2010)
Keyphrases
- comparative analysis
- optimization methods
- machine learning systems
- machine learning
- optimization problems
- optimization method
- simulated annealing
- optimization approaches
- semi quantitative
- stochastic methods
- machine learning algorithms
- learning systems
- efficient optimization
- learning classifier systems
- direct optimization
- genetic programming
- evolutionary algorithm
- supervised learning algorithms
- evolutionary computation
- particle swarm optimization