A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators.
Krystian LapaKrzysztof CpalkaLipo WangPublished in: ICAISC (1) (2017)
Keyphrases
- high accuracy
- optimization algorithm
- cost function
- preprocessing
- dynamic programming
- optimization method
- clustering method
- improved algorithm
- detection algorithm
- computational cost
- significant improvement
- segmentation algorithm
- computational complexity
- energy function
- detection method
- objective function
- estimation algorithm
- combinatorial optimization
- k means
- experimental evaluation
- synthetic and real images
- matching algorithm
- simulated annealing
- fuzzy art
- convergence rate
- input data
- computationally efficient
- probabilistic model
- recognition algorithm
- tree structure
- noisy data
- learning algorithm
- mathematical model
- segmentation method
- classification method
- theoretical analysis
- particle swarm optimization
- search space
- selection algorithm
- similarity measure
- recursive least squares
- classification algorithm
- em algorithm
- expectation maximization
- optimal solution
- fuzzy partition
- linear transform
- fuzzy membership functions
- support vector machine svm
- face recognition