An intelligent process parameters determination method based on multi-algorithm fusion: a case study in five-axis milling.
Zehua WangSibao WangShilong WangZengya ZhaoQian TangPublished in: Robotics Comput. Integr. Manuf. (2022)
Keyphrases
- input data
- dynamic programming
- experimental evaluation
- high accuracy
- theoretical analysis
- cost function
- optimization process
- optimization algorithm
- preprocessing
- clustering method
- objective function
- improved algorithm
- k means
- matching algorithm
- optimization method
- fine tuning
- detection algorithm
- computationally efficient
- detection method
- estimation algorithm
- optimal parameters
- parameter estimation
- computational cost
- synthetic and real images
- computational complexity
- segmentation algorithm
- expectation maximization
- iterative process
- initial values
- significant improvement
- maximum likelihood estimation
- parameters estimation
- parameter selection
- fusion method
- learning algorithm
- parameter settings
- recognition algorithm
- parameter tuning
- reconstruction method
- segmentation method
- recursive least squares
- initial estimates
- similarity measure
- classification algorithm
- tree structure
- energy function
- support vector machine svm
- maximum likelihood
- information fusion
- support vector machine
- matching score
- global motion
- simulated annealing
- levenberg marquardt
- calibration method
- fusion algorithm
- parameter space
- matching process
- data fusion
- fusion model
- maximum likelihood estimator
- clustering algorithm
- genetic algorithm